Divya Nori
Hello! I’m a Senior and joint Master’s student at MIT studying computer science. As a student researcher at the Broad Institute, advised by Prof. Wengong Jin and Prof. Caroline Uhler, my research aims to develop machine learning methods for biological applications. With a focus in drug discovery and biomolecular design, I am particularly interested in methods that bridge experimental, structure, and sequence data to make robust inferences.
Prior to the Broad, I was an undergraduate researcher in the Coley Group. I have also worked in industry as an ML Research Intern at D.E. Shaw Research, AI Research Intern at Absci, and Software Engineering Intern at Microsoft Research.
Outside of research, I am a co-organizer of the ML Protein Engineering Seminar Series – feel free to reach out if you are interested in speaking! I’m also a Teaching Assistant for the Break Through Tech AI Program at MIT.
Feel free to reach out at divnor80@mit.edu!
publications
- ICML ConferenceRNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow MatchingThe Forty-first International Conference on Machine Learning (ICML), Jul 2024
- NeurIPS GenBioEvaluating Zero-Shot Scoring for In Vitro Antibody Binding PredictionThe Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS) Generative AI and Biology Workshop [Spotlight], Dec 2023
- NeurIPS AI4ScienceDe Novo PROTAC Design Using Graph-Based Deep Generative ModelsThe Thirty-sixth Annual Conference on Neural Information Processing Systems (NeurIPS) AI4Science Workshop, Dec 2022
- MURJReal-Time Intervention Framework for Nicotine Poisoning via Smart E-Cigarette DeviceMIT Undergraduate Research Journal Volume 42, Dec 2021
- SEPR ConferenceAutomated Detection System for Adolescent Prescription Stimulant OverdoseThe Tenth Annual Southeastern Pediatric Research Conference, Jun 2020
- SEPR ConferenceAI-based Early Detection Tool to Identify Linguistic Bio-Markers of Mood DisordersThe Tenth Annual Southeastern Pediatric Research Conference, Jun 2020
projects
- 6.8200Protein Conformational Trajectory Prediction with Odds Ratio Preference Optimization6.8200 (Sensorimotor Learning) Final Project, Graduate Course, Grade: A, May 2024
- 18.S997Evaluating Zero-Shot Conditional Generation of TCR Sequences18.S997 (Generative AI and Biology) Final Project, Grade: A, May 2024
- 6.8611Identification of Knowledge Neurons in Protein Language Models6.8611 Quantitative Methods in NLP Final Project, Grade: A, Dec 2023
- 6.5940Efficient-ViT-Guard: Real-Time Face Detection and Blurring System for Video Privacy6.5940 TinyML and Efficient Deep Learning Computing Final Project, Graduate Course, Grade: A, Dec 2023
- 6.S966CryoSphere: SO(3)-Equivariant Method for Cryo-EM Pose EstimationBoston Symmetry Group November Meeting; 6.S966 Symmetry and its Applications to ML Final Project, Graduate Course, Grade: A+, May 2023
- 6.8301ImageToMolecule: Learning Protein Localization Images for Biologically-Specific Molecular Design6.8301 Advances in Computer Vision Final Project, Grade: A, May 2023