Symposium | Artificial Intelligence for Basic Research in Medicine and the Life Sciences

Registration Required 

Travel and accommodation for Ithaca is now closed.  

Agenda

Monday, June 1

6:00am: Bus departure from Ithaca

Lunch available at 11:15am

12:00pm: Introduction and Keynote 

• Mohammed N AlQuraishi, PhD, Columbia Systems Biology

1:00pm

Session: AI for Materials

• John Zimmerman, Cornell University, Machine Learning Directed Optimization of Biohybrid Robots for Probing Cardiac Structure-Function Relationships
• Tomas Arias, Cornell University, Chemistry Accelerated Machine-Enabled Learning (CAMEL): Materials Physics as a Guide for AI-Driven Discovery
• Jim Antaki, Cornell University, Clinical decision support chatbot for patients with severe heart failure
• Peter Frazier, Cornell University, Learning from Evolution for Biomaterials Design

3:15pm

Session: AI for Neuroscience / Neural Network & Models

• Mert Sabuncu, Cornell Tech, Beyond the Voxel Grid: Continuous Neural Response Functions for Brain Encoding
• Chang Su, Weill Cornell Medicine, Decoding Molecular Mechanisms Underlying Parkinson’s Disease Progression Heterogeneity for Drug Repurposing
• Jonathan Victor, Weill Cornell Medicine, How does human vision analyze elements of form?   

~4:45pm: Lightning Talks & Poster Session with Refreshments 

Find abstracts to be presented below 

Tuesday, June 2 

8:00am - Keynote 

• Adam J. Gormely, PhD, Rutgers Department of Biomedical Engineering  

9:00am

Session: AI for Decisions in Clinical Practice, Population-Health and Healthcare Operations

• David Shmoys, Cornell University, Optimizing for Fairness in Generalized Kidney Exchange   
• Nathaniel Hupert, Weill Cornell Medicine, Your doctor is already intelligent; thoughts on the proper role of AI in the clinic   
• Kyra Gan, Cornell Tech, What AI Can and Cannot Do in Clinical Decision Making: Lessons from Heart Failure and Sepsis
  
• Parminder Basran, Cornell University, Comparative Medicine Meets AI: Translating Discoveries Across the One Health Continuum  

11:10am

Session: AI for Genes and Proteins

• Haiyuan Yu, Cornell University, Deep learning for regulatory genome and 3D structural interactome modeling  
• Iman Hajirasouliha, Weill Cornell Medicine, Using Deep Learning for Somatic Structural Variant Discovery in Cancer Genomes   
• Ashley Laughney, Weill Cornell Medicine, Mapping Context-Dependent Protein Function with Deep Mutational Scanning and AI  

12:40pm

Lunch / Mini-Hackathon Presentations

1:00pm

Session: AI for Chemistry / AI for Chemical Engineering

• Shuwen Yue, Cornell University,  Physics Informed Active Learning for Machine Learning Interatomic Potentials 
• Jeff Varner, Cornell University, From Proteins to Patients: Training Free Generative Modeling with Stochastic Attention
• Erik Thiede, Cornell University, Rapid Peptide Screening using In-context Learning in Protein Language Models     

2:30pm

Collaborations Panel

 ~3:30pm - Meeting Adjourned