Curriculum vitae.

Assistant Professor, Department of Computer Science

Texas State University · San Marcos, Texas

J. Tinsley Oden Faculty Fellow

Oden Institute for Computational Engineering and Sciences · University of Texas at Austin

Postdoctoral Research Associate, Department of Applied Mathematics

Brown University · Providence, Rhode Island

Ph.D., Computational Analysis & Modelling

Louisiana Tech University · Ruston, Louisiana. Dissertation: Gradient Preserved Method and Neural Network Method for Solving Heat Conduction Equation with Variable Thermal Conductivity in Double Layered Structures. Advisor: Prof. Weizhong Dai.

M.S., Applied Mathematics

South Asian University · New Delhi, India

B.Sc., Mathematics

Cotton College · Guwahati, Assam, India

Independent faculty research and doctoral advising

Lead funded projects and interdisciplinary collaborations in scientific machine learning, neural operators, physics-grounded modeling, and reinforcement learning.

Christopher M. Coovrey

Physics-Aware Latent Scientific Machine Learning.

Collin Reisman

DOE Earth-System AI and Quantum Computing.

Keerthana Sunil

Uncertainty-Aware Agentic Reinforcement Learning for Scientific Systems.

Research mentorship

Scientific machine learning and interdisciplinary AI projects.

Sotos Lois · Imperial College London

Mentored at Brown University on mathematical foundations of scientific machine learning and physics-informed/operator-learning approaches to mathematical finance.

Applied Mathematics Directed Reading Program

Mentor · Brown University

DOE Genesis, Phase I

Drift-Aware Initialization of Coupled Earth System Models for Scalable Subseasonal-to-Seasonal Prediction Using Agentic AI. Prime institution: Pacific Northwest National Laboratory. Total collaborative funding: $750,000; Texas State subaward: $110,000.

BobCatalyst HealthTech Ignition Grant · Noema Laser

$25,000

BobCatalyst Proof of Concept Grant · Trashformer

$22,450

BobCatalyst Innovation Accelerator Program

BIAP Award · $5,000

PIER: Physics-Informed, Energy-efficient, Risk-aware Routing

Texas State University · $12,000

Physics-Informed Generative AI

ALCF Director’s Discretionary Allocation. Estimated commercial-cloud-equivalent value: $190,000; non-cash computational resources.

Quantification of extreme weather based on neural operator approximation

ALCF Director’s Discretionary Allocation

Machine Learning Methods for Phase Change Heat Transfer Modeling and Design

Proposal development at Brown University. Multidisciplinary University Research Initiative (MURI), Office of Naval Research. Collaborative proposal amount: $7.3 million; role: proposal development contributor.

CS 5325 · Reinforcement Learning

Instructor of Record · Texas State University

CS 4379G · Data Analysis & Visualization with Python

Instructor of Record · Texas State University

Deep Learning for Scientists & Engineers

Teaching Assistant · Brown University. Prepared course materials and analyzed optimization methods and mathematical formulations.

PHYS 209

Louisiana Tech University. Delivered instruction to 64 students, held office hours, and administered assessments.

PHYS 261/262

Louisiana Tech University. Led weekly computing laboratories and office hours; developed instructional videos for remote laboratory instruction.

PIER (Physics-Informed, Energy-efficient, Risk-aware Routing)

HydroML 2026

Innovation presentation

Global Innovation Rodeo at Texas House, SXSW 2026

PIER: Toward Practical, Risk-Aware Voyage Planning

Oden Institute Seminar, University of Texas at Austin

Austin, Texas

Mathematically Diverse Multiscale Neural Operators: From Bias Correction to Inverse Forcings

Rice AI Seminar Series, Rice University

Houston, Texas

Enhancing Heat Sink Efficiency in MOSFETs using Physics-Informed Neural Networks (poster)

Scientific Machine Learning for Differential Equations, Oden Institute

Austin, Texas

Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks ↗

East Coast Optimization Meeting (ECOM), 2025, George Mason University Arlington, Virginia (USA)

Arlington, VA, USA

Learning bias corrections for climate models using deep neural operators

Applied mathematics symposium: artificial intelligence meets fluid

Zoom, IIT Guwahati, IIT Hyderabad and VIT, India

Learning bias corrections for climate models using deep neural operators

AAAI 2023 Spring Symposium Series

San Francisco, California

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction (paper review)

Machine Learning + X, Crunch Seminar, Brown University

Providence, RI, USA

Applications on Riemann Integration and Metric Space

Applications on Riemann Integration and Metric Space (WARIMS-2021), department of basic sciences, school of technology, Assam Don Bosco University

Zoom, Assam Don Bosco University, India

Science Seminar

Louisiana Tech University

Ruston, Louisiana

Neural Network Method for Solving Parabolic Two-Step Microscale Heat, Conduction in Double-Layer Thin Films Exposed to Ultrashort-Pulsed Lasers

Computational Mathematics and Machine Learning Workshop, Lorentz Centre: Netherlands

Zoom

Neural Network Method for Solving Parabolic Two-Step Microscale Heat, Conduction in Double-Layer Thin Films Exposed to Ultrashort-Pulsed Lasers

Machine Learning + X, Crunch Seminar, Brown University

Providence, RI, USA

J. Tinsley Oden Faculty Fellow

Oden Institute · University of Texas at Austin

Winner · BioNTX Tech Transfer Showcase

iC³ Life Science & Healthcare Innovation Summit

Popular Choice Award · Noema-Laser

Nucleate Texas Demo Day

Second Place · Bobcat Innovation Challenge

Pitch competition · $1,500

Nucleate Activator Finalist

2026 cohort

Harry J. Gaston, Jr. Memorial Scholarship in Engineering

Louisiana Tech University

College of Engineering and Science Scholarship

Louisiana Tech University · 2018–2019 and 2019–2020

Teaching Assistant of the Year

Louisiana Tech University

Mercedes-Benz Endowed Scholarship

Louisiana Tech University

Highest Cumulative Grade Point Average

South Asian University

3rd Place · South Asian Karate Championship

Bangalore · retained from the original website

NoemaLaser Digital-twin guided, constraint-safe laser

Provisional patent application · Application No. 64/159,789 · Patent pending

Hierarchical Multi-Agent Reinforcement Learning for Scalable Adaptive Traffic Signal Control

Provisional patent application

Physics-informed offline reinforcement learning eliminates catastrophic fuel waste in maritime routing

Provisional patent application · Application No. 63/996,145 · Patent pending

Reinforcement Learning-Based Adaptive Collection Scheduling System for IoT-Enabled Waste Bins

Application No. 64/033,319

Co-organizer · SIAM Texas–Louisiana Sectional Meeting

Minisymposium · Southern Methodist University, Dallas, Texas · Forthcoming

Co-organizer · SIAM CSE27

Minisymposium · SIAM Conference on Computational Science and Engineering, Pittsburgh, Pennsylvania · Forthcoming

Journal reviewer

Nature Machine Intelligence; Journal of Computational Physics; Engineering Applications of Artificial Intelligence; Neural Computation; International Journal of Applied Mechanics and Engineering; Neurocomputing.

University service · Brown University

Reviewer, SPRINT UTRA Scholarship Applications

Scientific programming and machine learning

Python, JAX, PyTorch, Fortran, FEniCS, MATLAB, Octave; R, SAS.

High-performance computing

Brown OSCAR; ALCF Theta, Polaris, Aurora; Slurm, Cobalt.

Argonne Training Program on Extreme-Scale Computing

ATPESC

Sheridan Teaching Seminar · Reflective Teaching

Certificate I · Brown University