I am a second-year Ph.D. student in the Computer Science Department at the
University of North Carolina at Chapel Hill,
advised by Prof. Junier Oliva. My research interests broadly span statistical reasoning over structured data, interactive machine learning, intelligent and efficient information acquisition, and model-based reinforcement learning—particularly using world models and reinforcement learning to solve planning problems.
This summer, I am interning at Adobe, where I am working on causal inference to improve agentic workflows.
Previously, I was a Research Intern at
QTIM,
collaborating with researchers at Harvard University, MIT, and Massachusetts General Hospital. There, I developed deep learning models to predict the gene expression of oncologic drivers, advised by
Prof. Jayashree Kalpathy-Cramer,
Prof. Bruce Rosen,
Prof. Albert Kim,
and
Prof. Christopher Bridge.
As an undergraduate at BITS Pilani, Goa, I was affiliated with
APPCAIR AI Labs.
I worked with
Prof. Ashwin Srinivasan
on scientific discovery using constraint optimization with large language models, as well as reliable model compression.
If you would like to collaborate or chat about research, please don't hesitate to reach out!
May 2026 |
Paperon improving open-world modeling, UAI 2026
April 2026 | Paperon optimising black-box decision-makers under constraints, ACM BCB 2026
Dec 2025 | Paperon QM property prediction, JCIM 2026
Aug 2024 | Started PhD in Computer Science at UNC Chapel Hill
July 2024 | Presented my work on DL for brain metastases at ISBI 2024 in Athens, Greece
June 2024 | Completed B.E. Electronics and MSc. Biology with Minor in Data Science from BITS Pilani
Feb 2024 | Drug Discovery paper accepted at AAAI 2024
Task Expansion and Cross Refinement for Open-World Conditional Modeling
Shreyas Bhat Brahmavar, Qiyang Liu, Yang Li, Junier Oliva
preprint | UAI 2026
QPred: A Quantum Mechanical Property Predictor for Small Molecules
Omkar Shashank Sathe, Shreyas Bhat Brahmavar, Mrunmay Mohan Shelar, Raviprasad Aduri
paper | Journal of Chemical Information and Modeling, 2026
Towards Universal Neural Inference
Shreyas Bhat Brahmavar, Yang Li, Junier Oliva
preprint | Under Review
Dynamic Information Sub-Selection for Decision Support
Hung-Tien Huang, Maxwell Lennon, Shreyas Bhat Brahmavar, Sean Sylvia, Junier B. Oliva
paper | ACM BCB 2026
Multimodal Deep Learning-Based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases
Tobias R. Bodenmann, Nelson Gil, Felix J. Dorfner, Mason C. Cleveland, Jay B. Patel, Shreyas Bhat Brahmavar, Melisa S. Guelen, Dagoberto Pulido-Arias, Jayashree Kalpathy-Cramer, Jean-Philippe Thiran, Bruce R. Rosen, Elizabeth Gerstner, Albert E. Kim, Christopher P. Bridge
paper | CaPTion Workshop, MICCAI 2024
Generating Novel Leads for Drug Discovery Using LLMs for Logical Feedback
Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash, Lovekesh Vig, Arijit Roy, Sowmya Krishnan, Raviprasad Aduri
paper | AAAI 2024
Deep Learning-based Non-Invasive Molecular Profiling of Brain Metastases from MR Imaging
Shreyas Bhat Brahmavar*, Tiago Goncalves*, Tobias R. Bodenmann, Syed Rakin Ahmed, Jay B. Patel, Praveer Singh, Katharina V. Hoebel, Mason C. Cleveland, Felix Dorfner, Dagoberto Pulido-Arias, Bruce R. Rosen, Jaime S. Cardoso, Jayashree Kalpathy-Cramer, Elizabeth Gerstner, Albert E. Kim, Christopher P. Bridge
abstract | ISBI 2024 | * Equal Contribution
IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification
Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Khan, Erik Meijering, Ashwin Srinivasan
paper | IEEE ICIP 2023
A Deep Learning Framework Enables Non-Invasive Detection of Tumor Mutational Burden in Brain Metastases
Syed Rakin Ahmed*, Shreyas Bhat Brahmavar*, Christopher Bridge, Jay Patel, Ken Chang, Mishka Gidwani, Praveer Singh, Elizabeth Gerstner, Albert Kim, Priscilla Brastianos, Jayashree Kalpathy-Cramer
abstract | RSNA 2023 | * Equal Contribution
Efficient Integration of Molecular Representation and Message-Passing Neural Networks for Predicting Small Molecule Drug-like Properties
Shreyas Bhat Brahmavar, Mrunmay Mohan Shelar, Revanth Harinarthini, Hemanth Bandaru, Nahush Harihar Kumta, Ojas Wadhwani, Raviprasad Aduri
poster | ICDD 2022
