AIDDD Agenda | Kisaco Research

AIDDD Agenda

Agenda Days: 
  • Tuesday, 18 Nov, 2025
    Pre-Event Workshop

    Knowledge Graph Workshop

    Kickstart your AIDDD experience with our pre-event workshops, designed to provide in-depth insights and hands-on learning in key areas of the industry. Join QIAGEN for a deep-dive workshop exploring its AI-powered biomedical knowledge base, designed to accelerate target identification, pathway analysis, and data-driven drug discovery through advanced omics integration.

    Sponsor(s): 
    Qiagen
    Session Type: 
    General Session (Presentation)
  • Wednesday, 19 Nov, 2025
    Registration
    Morning Panels

    Recent Advances and Future Perspectives for AI in the Drug Discovery and Development Value Chain

    Speaker(s): 

    Author:

    Ashwini Ghogare

    Head, AI & Automation in Drug Discovery
    MilliporeSigma
    ... read more

    Ashwini Ghogare

    Head, AI & Automation in Drug Discovery
    MilliporeSigma

    Author:

    David Hallett

    Chief Scientific Officer
    Recursion
    ... read more

    David Hallett

    Chief Scientific Officer
    Recursion

    Author:

    Morten Sogaard

    Senior Vice President & Head, Astellas Innovation Lab
    Astellas Pharma
    ... read more

    Morten Sogaard

    Senior Vice President & Head, Astellas Innovation Lab
    Astellas Pharma

    Author:

    Shah Nawaz

    Vice President & Chief Technology Officer
    Regeneron
    ... read more

    Shah Nawaz

    Vice President & Chief Technology Officer
    Regeneron
    Time: 
    8:30 AM - 9:15 AM
    Session Type: 
    General Session (Presentation)
    Morning Break
    Morning Sessions

    AI-Driven Insights: Unlocking New Therapeutic Concepts and Decoding Complex Disease Biology

    Discuss how AI is used to identify pathological features, discover drug targets, and decode complex disease biology at a systems level.

    Speaker(s): 

    Author:

    Ari Allyn-Feuer

    Director, AI Intelligence Product
    GSK
    ... read more

    Ari Allyn-Feuer

    Director, AI Intelligence Product
    GSK

    Author:

    Arvind Rao

    Associate Professor, Computational Medicine & Bioinformatics
    University of Michigan
    ... read more

    Arvind Rao

    Associate Professor, Computational Medicine & Bioinformatics
    University of Michigan
    Time: 
    11:45 AM - 12:15 PM
    Agenda Track No.: 
    Track 1
    Session Type: 
    General Session (Presentation)

    Integrating GenAI for Small Molecule Generation and Optimization

    Learn how  GenAI is transforming early drug discovery by designing novel, drug-like small molecules with improved potency, selectivity, and ADME properties.
    Explore how GenAI integrates with synthesis planning and automation tools to prioritize viable candidates and accelerate iterative drug development.

    Speaker(s): 

    Author:

    Yue-Wang Webster

    Vice President, Model Driven Drug Discovery Platforms
    Eli Lilly
    ... read more

    Yue-Wang Webster

    Vice President, Model Driven Drug Discovery Platforms
    Eli Lilly
    Time: 
    11:45 AM - 12:15 PM
    Agenda Track No.: 
    Track 2
    Session Type: 
    General Session (Presentation)

    Innovation Trends in AI Enabled Clinical Trial Design

    Learn how predictive simulations, generative AI and differentiating clinical biomarkers are forecasted to cut prototyping timelines by weeks and reduce per‑trial costs.

    .

    Speaker(s): 

    Author:

    Gregory Goldmacher

    Assistant Vice President, Clinical Research, Head, Imaging
    Merck
    ... read more

    Gregory Goldmacher

    Assistant Vice President, Clinical Research, Head, Imaging
    Merck

    Author:

    Pavan Choksi

    Partner
    Arkitek Ventures
    ... read more

    Pavan Choksi

    Partner
    Arkitek Ventures
    Time: 
    11:45 AM - 12:15 PM
    Agenda Track No.: 
    Track 4
    Session Type: 
    General Session (Presentation)

    Unlocking Process Intelligence with Real-Time Monitoring and Control

    Explore how ML-enabled real-time control systems and continuous process verification improve yield predictability, reduce rework, and enable faster release - offering a direct line of sight to cost savings and product quality gains

    Speaker(s): 

    Author:

    Veera Padmanabhan

    Head, Manufacturing Science & Technology
    AstraZeneca

    Veera is currently managing a team of 40+ scientists, establishing robotics, lab automation predictive analytics and advanced chemometrics in next generation biologics manufacturing at AstraZeneca. He has 25+ years of experience, with expertise crossing R&D, manufacturing operations and supply chain.

    ... read more

    Veera Padmanabhan

    Head, Manufacturing Science & Technology
    AstraZeneca

    Veera is currently managing a team of 40+ scientists, establishing robotics, lab automation predictive analytics and advanced chemometrics in next generation biologics manufacturing at AstraZeneca. He has 25+ years of experience, with expertise crossing R&D, manufacturing operations and supply chain.

    Time: 
    11:45 AM - 12:15 PM
    Agenda Track No.: 
    Track 5
    Session Type: 
    General Session (Presentation)
    Afternoon Sessions

    AI and Multiomics Integration for Enhanced Target Identification and Validation

    Learn how AI-driven approaches integrate multiomics data, including genomics, proteomics, and transcriptomics, to identify potential drug targets and disease biomarkers for complex diseases.
    Explore how AI models synthesize cross-omic data and real-time multiomic information to uncover novel biological mechanisms, identify potential biomarkers and enable precision medicine.

    Speaker(s): 

    Author:

    Kiran Nistala

    Head, Functional Genomics
    Alkermes
    ... read more

    Kiran Nistala

    Head, Functional Genomics
    Alkermes
    Time: 
    12:45 PM - 1:15 PM
    Agenda Track No.: 
    Track 1
    Session Type: 
    General Session (Presentation)

    AI-Driven Protein Structure Prediction: Machine Learning Approaches for Protein Folding and Interaction Modelling

    Explore h ow AI models predict protein 3D structures from sequences, enabling insights into folding pathways and functional conformations
    Examine emerging co-folding models that reveal protein–protein interactions and guide multimeric complex design.

    Speaker(s): 

    Author:

    Miles Congreve

    Chief Scientific Officer
    Isomorphic Labs
    ... read more

    Miles Congreve

    Chief Scientific Officer
    Isomorphic Labs
    Time: 
    12:45 PM - 1:15 PM
    Agenda Track No.: 
    Track 2
    Session Type: 
    General Session (Presentation)

    Adoption of AI in Clinical Trials Across the Pharmaceutical Industry

    Explore practical strategies for scaling AI implementation across clinical development pipelines, enabling faster trial execution, smarter protocol design, and improved patient recruitment while aligning with evolving regulatory expectations.

    Speaker(s): 

    Author:

    Maria Florez

    Senior Consultant
    Tufts
    ... read more

    Maria Florez

    Senior Consultant
    Tufts
    Time: 
    12:45 PM - 1:15 PM
    Agenda Track No.: 
    Track 4
    Session Type: 
    General Session (Presentation)

    Building and Managing Compliant Models for Life Sciences

    Examine how AI models are being developed, validated, and governed to meet regulatory expectations, with practical insights into documentation, auditability, and lifecycle management to ensure safe, transparent, and compliant deployment in GxP environments.

    Speaker(s): 
    Time: 
    12:45 PM - 1:15 PM
    Agenda Track No.: 
    Track 5
    Session Type: 
    General Session (Presentation)
    Lunch
    Afternoon Sessions

    AI-Enhanced Biomarker Discovery: Integrating Lab and Digital Insights for Precision Medicine

    Explore how AI enhances biomarker discovery by analyzing large datasets to uncover novel biomarkers for disease diagnosis and therapeutic efficacy.
    Learn how integrating digital biomarkers with AI improves the interpretation of data from wearable devices and traditional lab-based biomarkers for better patient stratification and treatment personalization.

    Speaker(s): 

    Author:

    Satarupa Mukherjee

    R&D Leader, AI/ML (Digital Pathology)
    Roche
    ... read more

    Satarupa Mukherjee

    R&D Leader, AI/ML (Digital Pathology)
    Roche

    Author:

    Jack Geremia

    CEO
    Matterworks
    ... read more

    Jack Geremia

    CEO
    Matterworks

    Author:

    Virginia Savova

    Senior Director, Head Cell-Targeted Precision Medicine
    AstraZeneca
    ... read more

    Virginia Savova

    Senior Director, Head Cell-Targeted Precision Medicine
    AstraZeneca
    Time: 
    2:30 PM - 3:00 PM
    Agenda Track No.: 
    Track 1
    Session Type: 
    General Session (Presentation)

    Coupling AI with Physics-Based Methods for Accurate and Efficient Drug Discovery

    Learn how AI models enhance physics-based simulations to predict molecular interactions and optimize drug design.
    Discover the synergy between machine learning and classical methods to accelerate screening and improve the accuracy of drug discovery.

    Speaker(s): 

    Author:

    Sreyoshi Sur

    Former Scientist, Molecular Engineering & Modeling
    Moderna
    ... read more

    Sreyoshi Sur

    Former Scientist, Molecular Engineering & Modeling
    Moderna
    Time: 
    2:30 PM - 3:00 PM
    Agenda Track No.: 
    Track 2
    Session Type: 
    General Session (Presentation)

    Generative AI use in Predictive Patient Enrolment & Retention

    Showcasing generative models that craft hyper‑personalized outreach messages and informed consent materials, driving up engagement rates and shaving weeks off recruitment timelines.
    Discover how ML‑driven forecasts for recruitment rates and optimized site selection translate into faster first‑patient‑in and lower screen‑fail/dropout rates, saving you both time and budget.

    Speaker(s): 

    Author:

    Claire Zhao

    Associate Director, AI/ML & Quantitative & Digital Sciences
    PFIZER
    ... read more

    Claire Zhao

    Associate Director, AI/ML & Quantitative & Digital Sciences
    PFIZER
    Time: 
    2:30 PM - 3:00 PM
    Agenda Track No.: 
    Track 4
    Session Type: 
    General Session (Presentation)

    Operationalizing Digital Twins and Model-Driven Optimization

    Highlight how digital twins and hybrid ML models (e.g., Bayesian, predictive) enable virtual experimentation and proactive troubleshooting, reducing scale-up failures and supporting more reliable process performance at commercial scale.

    Speaker(s): 

    Author:

    Shruti Vij

    Associate Director, Data Analytics & Modeling
    Takeda
    ... read more

    Shruti Vij

    Associate Director, Data Analytics & Modeling
    Takeda
    Time: 
    2:30 PM - 3:00 PM
    Agenda Track No.: 
    Track 5
    Session Type: 
    General Session (Presentation)

    AI-Driven Antibody Discovery and Optimization: Unlocking New Therapeutics

    Explore how AI accelerates antibody discovery by enabling de novo design, epitope prediction, and in silico affinity maturation for highly specific, developable therapeutics.
    Learn how deep learning and structure-based models optimize antibody stability, immunogenicity and target binding to advance precision biologics.

    Speaker(s): 

    Author:

    Adam Root

    Vice President & Head, Protein Sciences
    Generate Biomedicines
    ... read more

    Adam Root

    Vice President & Head, Protein Sciences
    Generate Biomedicines

    Author:

    Claudette Fuller

    Vice President, Non Clinical Safety & Toxicology
    Genmab
    ... read more

    Claudette Fuller

    Vice President, Non Clinical Safety & Toxicology
    Genmab
    Time: 
    3:30 PM - 4:00 PM
    Agenda Track No.: 
    Track 1
    Session Type: 
    General Session (Presentation)

    Harnessing AI for Hit Identification in the Ultra-Large Chemical Space

    Discover how ML and active learning techniques are revolutionizing the search for promising drug candidates in vast chemical libraries, accelerating hit identification.
    Learn how AI models navigate ultra-large chemical spaces, prioritize bioactive compounds, and streamline the discovery of potential hits for further development.

    Speaker(s): 

    Author:

    Lingling Shen

    Associate Director, Discovery Sciences
    Novartis
    ... read more

    Lingling Shen

    Associate Director, Discovery Sciences
    Novartis

    Author:

    Justin Scheer

    Vice President, In Silico Discovery
    Johnson & Johnson Innovative Medicine
    ... read more

    Justin Scheer

    Vice President, In Silico Discovery
    Johnson & Johnson Innovative Medicine
    Time: 
    3:30 PM - 4:00 PM
    Agenda Track No.: 
    Track 2
    Session Type: 
    General Session (Presentation)

    How Quantum Innovation is Set to Unlock The Future of Drug Development

    Uncover how quantum technologies could reshape clinical trial design and optimization, from accelerating molecule-to-protocol timelines to improving patient stratification and adaptive trial modelling.

    Speaker(s): 

    Author:

    Michael Dandrea

    Principal Data Scientist
    Genentech
    ... read more

    Michael Dandrea

    Principal Data Scientist
    Genentech

    Author:

    Zoran Krunic

    Principal Product Manager
    Amgen

    Since joining Amgen R&D in 2018, Zoran Krunic has been at the forefront of applying Machine Learning to enhance patient outcomes and streamline clinical trial enrollment processes, utilizing comprehensive Electronic Health Records and clinical datasets. His pioneering work in the Quantum Machine Learning space, in collaboration with IBM's Quantum team, has been instrumental in integrating machine learning with quantum computing through IBM’s Qiskit platform.

    Prior to his tenure at Amgen, Zoran developed Machine Learning algorithms at Optum to predict hardware and software failures within complex enterprise architectures. He has a strong background in data engineering and systems development, having contributed significantly to large-scale projects at renowned organizations such as Capital Group and ARCO Petroleum.

    In his current full and part-time endeavors, Zoran is leading the efforts in embracing generative AI technologies, with a particular focus on OpenAI's GPT and Anthropic's Claude-2 models. His work is focused on prompt engineering and its application to code generation, advanced document analysis, and process management, with a commitment to ethical AI practices and data privacy.

    A recognized voice in quantum computing circles, Zoran is a regular presenter at industry conferences and has served on numerous panels discussing the integration of quantum computing and generative AI within the Health Sciences sector.

    With a Master of Science in Electrical Engineering & Computer Science, Zoran continues to explore and contribute to the evolving relationship between quantum computing and artificial intelligence, fostering groundbreaking advancements in healthcare technology.

    ... read more

    Zoran Krunic

    Principal Product Manager
    Amgen

    Since joining Amgen R&D in 2018, Zoran Krunic has been at the forefront of applying Machine Learning to enhance patient outcomes and streamline clinical trial enrollment processes, utilizing comprehensive Electronic Health Records and clinical datasets. His pioneering work in the Quantum Machine Learning space, in collaboration with IBM's Quantum team, has been instrumental in integrating machine learning with quantum computing through IBM’s Qiskit platform.

    Prior to his tenure at Amgen, Zoran developed Machine Learning algorithms at Optum to predict hardware and software failures within complex enterprise architectures. He has a strong background in data engineering and systems development, having contributed significantly to large-scale projects at renowned organizations such as Capital Group and ARCO Petroleum.

    In his current full and part-time endeavors, Zoran is leading the efforts in embracing generative AI technologies, with a particular focus on OpenAI's GPT and Anthropic's Claude-2 models. His work is focused on prompt engineering and its application to code generation, advanced document analysis, and process management, with a commitment to ethical AI practices and data privacy.

    A recognized voice in quantum computing circles, Zoran is a regular presenter at industry conferences and has served on numerous panels discussing the integration of quantum computing and generative AI within the Health Sciences sector.

    With a Master of Science in Electrical Engineering & Computer Science, Zoran continues to explore and contribute to the evolving relationship between quantum computing and artificial intelligence, fostering groundbreaking advancements in healthcare technology.

    Time: 
    3:30 PM - 4:00 PM
    Agenda Track No.: 
    Track 4
    Session Type: 
    General Session (Presentation)

    Accelerating R&D to Manufacturing Handover

    Equip teams with AI tools that capture process knowledge and simulate scale-up scenarios, reducing tech transfer timelines and improving first-batch success rates - critical for aligning R&D, MSAT, and manufacturing expectations early

    Speaker(s): 

    Author:

    Irfan Ali Mohammed

    Director, CMC
    Alexion Pharmaceuticals
    ... read more

    Irfan Ali Mohammed

    Director, CMC
    Alexion Pharmaceuticals
    Time: 
    3:30 PM - 4:00 PM
    Agenda Track No.: 
    Track 5
    Session Type: 
    General Session (Presentation)
    Afternoon Break
  • Thursday, 20 Nov, 2025
    Morning Sessions

    Innovation Incubator

    This session provides the unique opportunity to listen to, and engage with, some of the most innovative AI Drug Discovery and Development start-ups globally. Focusing exclusively on early-stage funding, six startups picked by our esteemed selection committee will take to the stage in front of 100+ potential partners. Through a series of rapid-fire presentations, these pioneers will demonstrate their vision of the future of drug discovery, and how their product, technology, or service fits into it.

    Time: 
    9:00 AM - 9:45 AM
    Session Type: 
    General Session (Presentation)
    Morning Break
    Morning Sessions

    AI and Lab in the Loop for Unprecedented Scale in the Generation of Fit-for-Purpose Data Generation for Drug Development

    Discuss how Lab in the Loop is revolutionizing drug discovery by integrating AI with experimental workflows, enhancing speed and accuracy in data collection and analysis.

    Speaker(s): 

    Author:

    Shane Lewin

    Vice President, AI & ML
    GSK
    ... read more

    Shane Lewin

    Vice President, AI & ML
    GSK
    Time: 
    11:45 AM - 12:15 PM
    Agenda Track No.: 
    Track 1
    Session Type: 
    General Session (Presentation)

    AI-Guided High-Throughput Screening with DEL and DNA-Encoded Technologies

    Explore how AI-driven approaches enhance high-throughput screening by optimizing DNA-encoded libraries (DEL) for rapid identification of potential drug candidates.
    Learn how AI algorithms accelerate the analysis of complex screening data, enabling more efficient lead discovery and targeting of molecular interactions.

    Speaker(s): 

    Author:

    Hans Bitter

    Head, Computational Sciences
    Takeda
    ... read more

    Hans Bitter

    Head, Computational Sciences
    Takeda

    Author:

    Jason Cross

    Institute Director, Structural & Computational Drug Design
    MD Anderson Cancer Center
    ... read more

    Jason Cross

    Institute Director, Structural & Computational Drug Design
    MD Anderson Cancer Center
    Time: 
    11:45 AM - 12:15 PM
    Agenda Track No.: 
    Track 2
    Session Type: 
    General Session (Presentation)

    Integrating Gen AI & LLMs into Early-Stage Clinical Trials

    Gain actionable strategies for embedding generative AI and large language models into early-phase trial design and execution, from protocol drafting and site selection to patient engagement, accelerating timelines while ensuring data quality and compliance

    Speaker(s): 

    Author:

    Yi Hong

    Senior Consultant
    Gilead
    ... read more

    Yi Hong

    Senior Consultant
    Gilead
    Time: 
    11:45 AM - 12:15 PM
    Agenda Track No.: 
    Track 4
    Session Type: 
    General Session (Presentation)

    Embedding AI in Process Development

    Hear cross-functional perspectives on successfully implementing AI across process development teams, from aligning with quality, IT, and manufacturing to overcoming cultural and technical barriers, with a focus on driving operational efficiency and long-term value

    Speaker(s): 

    Author:

    Shruti Vij

    Associate Director, Data Analytics & Modeling
    Takeda
    ... read more

    Shruti Vij

    Associate Director, Data Analytics & Modeling
    Takeda
    Time: 
    11:45 AM - 12:15 PM
    Agenda Track No.: 
    Track 5
    Session Type: 
    General Session (Presentation)
    Afternoon Sessions

    Fireside Chat

    Sponsor(s): 
    Alphabiome
    Speaker(s): 

    Author:

    Dr. Yaniv Altshuler

    CEO & Founder
    Alphabiome
    ... read more

    Dr. Yaniv Altshuler

    CEO & Founder
    Alphabiome

    Author:

    Professor Roger Kornberg

    Nobel Laureate in Chemistry
    Alphabiome
    ... read more

    Professor Roger Kornberg

    Nobel Laureate in Chemistry
    Alphabiome
    Time: 
    12:45 PM - 1:15 PM
    Agenda Track No.: 
    Track 1
    Session Type: 
    General Session (Presentation)

    Innovative Biologic Design: AI Tools for Optimizing ADCs, CAR-T, and Next-Gen Therapeutics

    Explore how AI accelerates the design of complex biologics, including ADCs and engineered cell therapies.
    Learn how predictive models improve developability by forecasting linker stability, payload efficacy, and manufacturability.

    Speaker(s): 

    Author:

    Monica Wang

    Head, Biologics & Novel Modality Discovery Capabilities & Products, Scientific Informatics
    Takeda
    ... read more

    Monica Wang

    Head, Biologics & Novel Modality Discovery Capabilities & Products, Scientific Informatics
    Takeda

    Author:

    Yorgos Psarellis

    Senior Computational & Machine Learning Scientist
    Sanofi
    ... read more

    Yorgos Psarellis

    Senior Computational & Machine Learning Scientist
    Sanofi
    Time: 
    12:45 PM - 1:15 PM
    Agenda Track No.: 
    Track 2
    Session Type: 
    General Session (Presentation)

    AI-Enabled Measurements for Drug Development Insights and Efficiency

    Gain actionable strategies for embedding AI and large language models into portfolio decision making, accelerating timelines while ensuring data quality and compliance

    Speaker(s): 

    Author:

    Gregory Goldmacher

    Assistant Vice President, Clinical Research, Head, Imaging
    Merck
    ... read more

    Gregory Goldmacher

    Assistant Vice President, Clinical Research, Head, Imaging
    Merck
    Time: 
    12:45 PM - 1:15 PM
    Agenda Track No.: 
    Track 4
    Session Type: 
    General Session (Presentation)

    Model Based Optimization of Fed Batch In Vivo Transcription

    Developing a mechanistic model of IVT to include nucleation and growth of magnesium pyrophosphate crystals and subsequent agglomeration of crystals and DNA

    Speaker(s): 

    Author:

    Nathan Stover

    PhD Student, Chemical Engineering
    Massachusetts Institute of Technology
    ... read more

    Nathan Stover

    PhD Student, Chemical Engineering
    Massachusetts Institute of Technology
    Time: 
    12:45 PM - 1:15 PM
    Agenda Track No.: 
    Track 5
    Session Type: 
    General Session (Presentation)
    Lunch

    Women in AI Lunch

    An empowering session featuring inspirational speakers championing women’s leadership across tech, data, and pharma.

    Speaker(s): 

    Author:

    Ashwini Ghogare

    Head, AI & Automation in Drug Discovery
    MilliporeSigma
    ... read more

    Ashwini Ghogare

    Head, AI & Automation in Drug Discovery
    MilliporeSigma

    Author:

    Jackie Hunter

    Chief Executive Officer
    OI Pharma Partners
    ... read more

    Jackie Hunter

    Chief Executive Officer
    OI Pharma Partners

    Author:

    Petrina Kamya

    President & Global Head, AI Platforms
    Insilico Medicine
    ... read more

    Petrina Kamya

    President & Global Head, AI Platforms
    Insilico Medicine
    Time: 
    1:15 PM - 2:30 PM
    Session Type: 
    General Session (Presentation)
    Afternoon Sessions

    Normalizing Complex Datasets: Ensuring AI-Ready Data for Biological Research

    Explore how knowledge graphs integrate multi-source biological data, such as genetic, proteomic, and clinical information, into unified models that accelerate target discovery and disease understanding, with AI enhancing the extraction of actionable insights.
    Learn how data normalization and the latest curation strategies ensure that biological datasets are clean, standardized, and AI-ready, enabling accurate analysis and improved model performance for drug development.

    Speaker(s): 

    Author:

    Daniyal Hussain

    Executive Director, Technology Business Development
    GSK
    ... read more

    Daniyal Hussain

    Executive Director, Technology Business Development
    GSK

    Author:

    Michael Steinbaugh

    Director, Data, AI & Genome Sciences
    Merck
    ... read more

    Michael Steinbaugh

    Director, Data, AI & Genome Sciences
    Merck

    Author:

    Shameer Khader

    Executive Director, Precision Medicine & Computational Biology
    Sanofi
    ... read more

    Shameer Khader

    Executive Director, Precision Medicine & Computational Biology
    Sanofi
    Time: 
    2:30 PM - 3:00 PM
    Agenda Track No.: 
    Track 1
    Session Type: 
    General Session (Presentation)

    Designing Developable Molecules: AI-Powered Prediction of Synthetic Feasibility and Drug-Like Properties

    Explore how AI and large language models are revolutionizing reaction prediction, retrosynthesis planning, and synthetic accessibility scoring.
    Learn how to evaluate and optimize AI-generated leads for real-world developability, including solubility, stability, and synthetic tractability.

    Speaker(s): 

    Author:

    Ethan Pickering

    Head, Data Science & ML Research
    Bayer
    ... read more

    Ethan Pickering

    Head, Data Science & ML Research
    Bayer
    Time: 
    2:30 PM - 3:00 PM
    Agenda Track No.: 
    Track 2
    Session Type: 
    General Session (Presentation)

    Harnessing Generative AI and RWD for Next-Gen Post-Market Surveillance

    Explore how generative AI is being used to analyze real-world data at scale, enabling earlier signal detection, automated safety reporting, and more dynamic risk-benefit monitoring, driving smarter, faster post-market decision-making across the product lifecycle.

    Speaker(s): 

    Author:

    Paul Petraro

    Director, Real World Evidence Analytics
    Boehringer Ingelheim
    ... read more

    Paul Petraro

    Director, Real World Evidence Analytics
    Boehringer Ingelheim
    Time: 
    2:30 PM - 3:00 PM
    Agenda Track No.: 
    Track 4
    Session Type: 
    General Session (Presentation)

    Transfer of PAT Methods From The Process Development Space to The GMP Space

    Discover practical strategies for scaling Process Analytical Technology (PAT) from R&D into regulated GMP environments , including method validation, data integrity, and cross-functional alignment to ensure continuity, compliance, and control at commercial scale.

    Speaker(s): 
    Time: 
    2:30 PM - 3:00 PM
    Agenda Track No.: 
    Track 5
    Session Type: 
    General Session (Presentation)

    AI-Powered Digital Twins and Perturbation Modelling for Target Identification and Validation

    Explore how AI-driven digital twins and functional models integrate patient-specific biology to identify and validate high-confidence drug targets by simulating system-level responses to genetic or pharmacological perturbations.
    Learn how perturbation modelling with multiomic and functional genomics data predicts the effects of interventions on disease pathways, while LLMs synthesize data to uncover and prioritize novel therapeutic targets.

    Speaker(s): 

    Author:

    Zhiyong (Sean) Xie

    Vice President & Head, AI & Data Science
    Xellarbio
    ... read more

    Zhiyong (Sean) Xie

    Vice President & Head, AI & Data Science
    Xellarbio
    Time: 
    3:00 PM - 3:30 PM
    Agenda Track No.: 
    Track 1
    Session Type: 
    General Session (Presentation)

    Decoding Disease with AI: The Cutting Edge of Single-Cell and Spatial Biology for Target Discovery and Precision Medicine

    Explore how AI-powered single-cell and spatial biology technologies reveal cellular heterogeneity, tissue organization, and microenvironmental interactions to uncover disease mechanisms and therapeutic targets.
    Learn how AI models analyze high-dimensional cellular and spatial data to define pathogenic cell states, map dysregulated pathways, and prioritize targets for early-stage therapeutic discovery.

    Speaker(s): 

    Author:

    Qi Song

    Principal Scientist, Predictive Biology & AI
    Bristol Myers Squibb
    ... read more

    Qi Song

    Principal Scientist, Predictive Biology & AI
    Bristol Myers Squibb
    Time: 
    3:30 PM - 4:00 PM
    Agenda Track No.: 
    Track 1
    Session Type: 
    General Session (Presentation)

    Lead Optimization: Enhancing ADME Properties and Drug-Target Affinity with AI

    Explore how machine learning techniques, such as supervised learning and deep learning, predict critical ADME properties like solubility, permeability, and DDI risk.
    Discover how computational methods, including molecular docking and quantum chemistry simulations, optimize high-affinity drug-target interactions for enhanced efficacy.

    Speaker(s): 

    Author:

    David Kombo

    Principal Scientist
    Sanofi
    ... read more

    David Kombo

    Principal Scientist
    Sanofi
    Time: 
    3:30 PM - 4:00 PM
    Agenda Track No.: 
    Track 2
    Session Type: 
    General Session (Presentation)

    Translating AI Investment into Operational ROI

    Demonstrate how AI-driven initiatives - like predictive modelling and automated inspection -translate into measurable outcomes (e.g., defect reduction, shorter batch release cycles) that justify capital investment and cross-functional prioritization

    Time: 
    3:30 PM - 4:00 PM
    Agenda Track No.: 
    Track 5
    Session Type: 
    General Session (Presentation)
    Afternoon Break

    Tech Test Lab Presentation

    The Tech Test Lab features promising startups at Series A and earlier stages, offering a first look at bold, experimental technologies shaping the future of drug discovery

    Time: 
    4:00 PM - 4:30 PM
    Session Type: 
    General Session (Presentation)

    Academic Poster Display

    Get inspired by the latest research from academic institutions. Explore posters covering cutting-edge investigations and methodologies at the intersection of AI and life sciences.

    Time: 
    4:00 PM - 4:30 PM
    Session Type: 
    General Session (Presentation)
    Closing Keynote

Jump to: Tuesday, 18 Nov | Wednesday, 19 Nov | Thursday, 20 Nov

Agenda Tracks: 
Track Title: 
Biology
Track Color: 
#00c2c4
Track Title: 
Chemistry
Track Color: 
#0a0045
Track Title: 
AI Infrastructure
Track Color: 
#96dcff
Track Title: 
Clinical Trials
Track Color: 
#00829e
Track Title: 
Process Development
Track Color: 
#42c2dc