I am a second year Computer Science Ph.D. student at the University of Toronto and a Researcher at the Vector Institute, supervised by Dr. Alán Aspuru-Guzik at The Matter Lab. I received my B.S. in Computer Science with a minor in Materials Science and Engineering from the Georgia Institute of Technology, where my research background helped earn an NSF GRFP Honorable Mention.
My research interests lie at the intersection of quantum algorithms, machine learning, and computational science. Currently, I am working on using quantum algorithms to simulate non-linear phase change partial differential equations, with a specific focus on leveraging compressed micro-lattice architectures for fluid dynamics. I also work on machine learning for the physical sciences, including developing AI agents for quantum computing and chemical applications, and have worked in evaluating confidence score degradation under distribution shifts in protein structure prediction models.
Outside the lab, I am actively involved in teaching, advocacy, and my local community. I serve as a Teaching Assistant for CSC108 at UofT, a tutor for the Matter Lab International Satellite School at UNAM, and a Steward for CUPE 3902 representing Computer Science graduate students. I also spend time volunteering at the Fort York Food Bank, and have taught at and hosted chess camps for students in the Atlanta area.
I have played chess my entire life, previously serving as the VP of Marketing for the Georgia Tech Chess Club and representing Georgia Tech at collegiate tournaments across the country. Nowadays, in addition to chess, you can find me attending screenings at the Toronto International Film Festival, catching up on One Piece lore, or closely following the NBA and other sports. I've always been fascinated by math, puzzles, and discovery; research in computational science was the obvious choice!
Most recent publications on Google Scholar.
El Agente Cuántico: Automating Quantum Simulations
Ignacio Gustin, Luis Mantilla Calderón, Juan B. Pérez-Sánchez, Chris Crebolder, Jérôme F. Gonthier, Mohammad Ghazi Vakili, Yuma Nakamura, Karthik Panicker, Manav Ramprasad, Zijian Zhang, Yunheng Zou, Varinia Bernales, Alán Aspuru-Guzik
Reports on Progress in Physics
TransEHR: Self-Supervised Transformer for Clinical Time Series Data
Yanbo Xu, Shangqing Xu, Manav Ramprasad, Alexey Tumanov, Chao Zhang
Machine Learning for Health
Machine-Learning Predictions of Polymer Properties with Polymer Genome
Huan Doan Tran et al
Journal of Applied Physics
Assessing and Improving Machine Learning Model Predictions of Polymer Glass Transition Temperatures
Manav Ramprasad, Chiho Kim
Journal of Emerging Investigators
Pre-training Graph Neural Networks with Structural Fingerprints for Materials Discovery
Shuyi Jia, Shitij Govil, Manav Ramprasad, Victor Fung
Pre-Print on Arxiv
Optimal Time Discretization in Quantum Simulation: The Trade-off Between Trotter Error and Finite Precision
Manav Ramprasad
University of Toronto
Evaluating Uncertainty Quantification in Co-folding Models under Distribution Shift
Manav Ramprasad, Walter Virany, Amogh Joshi, Jaswin Hargun
AI for Drug Discovery
Multi-Linear Formulas for Permanent and Determinant are of Super-Polynomial Size: An Analysis
Manav Ramprasad
University of Toronto
Warehouse Management System
Manav Ramprasad, William Runyon, Michael Mayo
Experimental Flights Vertically Integrated Project
Machine Learning Based Patient Severity Score and Mortality Rate Predictions
Manav Ramprasad, Medhana Kadiyala, Ruthvika Garlapati, Aashvi Patel, Kirtana Mogili
Georgia Institute of Technology
Using Computer Simulation Methods for Atlanta Weather and Climate Prediction
Manav Ramprasad, Sarang Pujari, Khushi Magiawala, Somil Jain
Georgia Institute of Technology
Full Resumé in PDF.