Symposium 2025


Posters

Poster NoNameOrganizationTitle
1Utkarsh SharmaUniversity of Illinois Urbana-ChampaignEquiCat: An Equivariant Neural Network Architecture for Predicting Enantioselectivity in Asymmetric Catalysis
2Carl EdwardsUniversity of Illinois Urbana-ChampaignKnowledge Empowered Joint Language and Molecule Modeling to Accelerate Drug Discovery
3Siru OuyangUniversity of Illinois Urbana-ChampaignStructChem: Structured Chemistry Reasoning with Large Language Models
4Thao NguyenUniversity of Illinois Urbana-ChampaignFARM: Functional Group-Aware Representations for Small Molecules
5Ayush ShahRochester Institute of TechnologyChemScraper: Pipeline for Parsing Raster and Vector Molecule Diagrams from PDFs
6Hongxiang LiUniversity of Illinois Urbana-ChampaignReaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data
7Mohit AnandPennsylvania State UniversityAI-Enabled Next-Gen Biosynthesis Planning
8Tianhao YuUniversity of Illinois Urbana-ChampaignEnzyme function prediction using contrastive learning
9Xuan LiuUniversity of Illinois Urbana-ChampaignAI for retrosynthesis and small molecule discovery
10Blake OcampoUniversity of Illinois Urbana-Champaignmolli: A General-Purpose Python Toolkit for Combinatorial Small Molecule Library Generation, Manipulation, and Feature Extraction
11Le YuanUniversity of Illinois Urbana-ChampaignLeveraging Large Language Models for Enzyme Catalytic Efficiency Prediction
12David AshleyChemetrianChemetrian: User-friendly machine learning tools for chemists
13Jason WuUniversity of Illinois Urbana-ChampaignSolid-Phase Synthesis of Sequence-Defined Oligomers: Enabling Closed-Loop Discovery of Functional Materials
14David FridayUniversity of Illinois Urbana-ChampaignMMLI Kaggle Competition