Education
University of HoustonExpected May 2027
Ph.D. in Applied Mathematics · Houston, TX
Lady Shri Ram College for Women, University of Delhi2020
M.S. in Mathematics · New Delhi, India
Janki Devi Memorial College, University of Delhi2018
B.S. (Honors) in Mathematics · New Delhi, India
Research Experience
Institute for Basic Science (IBS)Jun – Aug 2025
Research Intern · Daejeon, South Korea
- Designed and implemented novel reinforcement-learning algorithms to adaptively tune HMC hyper-parameters (step size, target acceptance rate) for 5–100 dimensional Bayesian posterior sampling.
- Benchmarked the adaptive sampler against standard HMC and NUTS baselines in Python, demonstrating 100% convergence of posterior samples.
- Validated performance on the PosteriorDB benchmark across diverse Bayesian models and posterior geometries.
University of HoustonFall 2023 – Present
Graduate Research Assistant · Houston, TX
- Gene Regulatory Network inference — Developed a Bayesian framework for small-scale GRNs (1–4 genes) using the Chemical Langevin Equation, inferring regulatory interactions, kinetic parameters, and feedback topology from stochastic steady-state gene expression.
- RL-driven adaptive Hamiltonian Monte Carlo — Developing a curriculum-based reinforcement-learning framework to tune HMC sampling parameters; formalized hyper-parameter adaptation as a Markov Decision Process with rewards based on negative log posterior, entropy, and effective squared jump distance.
- Biocomputing — Developing mathematical and stochastic models for an ongoing biocomputing project, supporting biologically grounded simulations and downstream computational analysis.
Skills
Mathematical & Statistical Methods Bayesian InferenceVariational InferenceMCMCStochastic ProcessesReinforcement LearningStochastic Differential EquationsProbabilistic Graphical ModelsNumerical MethodsOptimizationGaussian ProcessesCausal Inference
Programming PythonMATLABRStan
Libraries & Frameworks PyMCNumPySciPyTensorFlowPyTorchscikit-learnJAXOpenAI GymPandasMatplotlibGit
Domain Knowledge Computational BiologySystems BiologyGene Regulatory NetworksComputational NeuroscienceScientific Machine Learning
Publications
Gupta, A., Yoon, R., & Josić, K. (2026). Bayesian Inference of Gene Regulatory Networks at Stochastic Steady State. Journal of the Royal Society Interface (in press). Preprint: bioRxiv, 2026-01.
Teaching
University of HoustonFall 2022 – Present
Graduate Teaching Assistant · Houston, TX
- Courses: Calculus, Graph Theory, Statistics for Data Science, Numerical Methods.
Awards
Graduate Tuition Fellowship, University of Houston2022 – Present
Competitive merit-based funding for doctoral researchers
Academic Excellence Award, University of Delhi2018
Service & Leadership
American Mathematical Society — UH Chapter2022 – Present
Vice President (Fall 2025 – Present) · Webmaster (2024 – 2025) · Secretary (2022 – 2024)
