Speaker Profile
Ph.D., Assistant Professor of Research in Neuroscience, Cornell
Biography
Dr. Alokkumar Jha is an Assistant Professor of Research in Neuroscience at Weill Cornell Medicines Brain and Mind Research Institute, specializing in the application of advanced AI models to genomics and imaging data. His research focuses on leveraging machine learning to understand disease progression mechanisms, particularly in neurodegenerative diseases such as Alzheimer's Disease and heart failure.Dr. Jhas current projects include developing deep learning models to analyze genomics data, identifying key features that predict transitions from normal cognitive function to Alzheimer's. His work has been recognized as an "Abstract of Distinction" for its innovative approach to understanding neurodegeneration. He is also involved in collaborative projects investigating somatic variants in heart failure, using graph learning AI models to integrate genetic and MRI data.With a Ph.D. in Cancer Genetics from the National University of Ireland, Galway, and experience at institutions such as Stanford University and Harvard Medical School, Dr. Jha combines multi-omics data, imaging, and AI technologies to create personalized predictions for disease progression and treatment outcomes.
Session Abstract – PMWC 2025 Silicon Valley
Track Chair:
Gad Getz, Broad Institute
- PMWC 2025 Luminary Award
Luminary Honoree: Jensen Huang, Nvidia
- Continued Jensen Huang, Nvidia
- Predictive Modeling for Drug Development
- Luca Emili, InSilicoTrials
- Knowledge Graphs, LLMs & Foundation Models for Enhanced Drug Development
- Janusz Dutkowski, Data4Cure
- Paul Rejto, Pfizer
- PMWC Showcase
- Peter Ellman, Certis Oncology
- Beyond LLMs: Harnessing Advanced AI Models for Genomics and Transcriptomics (PANEL)
Chair: Gad Getz, Broad Institute
- Yasin Şenbabaoğlu, CZ Biohub San Francisco
- Orly Alter, PrismAI
- Nicolo Fusi, Microsoft - Empowering AI in Precision Medicine with Federated Data Platforms
- Noah Nasser, Datma
- Advancing Global Health through Data Sharing: Practical Strategies and Success Stories (PANEL)
Chair: Luca Foschinii, Sage Bionetworks
- Peter Goodhand, GA4GH
- Karen Miga, UCSC
- Philip Awadalla, Ontario Institute for Cancer Research
- Driving Drug Discovery With Low-cost Foundational Omics Datasets
- Gilad Almogy, Ultima Genomics
- Johnny Yu, Vevo Therapeutics
- Stacie Calad-Thomson, NVDIA - Enabling Targeted Precision Drug & Gene Delivery with Predictive AI
- Andre Watson, Ligandal Inc.
- Quantum Leap: The Future of AI and Machine Learning with Quantum Computing
- Matthias Troyer, Microsoft
