Hello, I’m
Utkarsh Bharadwaj

@ Indian Statistical Institute, Delhi

Mathematics and statistics student passionate about applying theoretical foundations to solve complex, real-world problems. Eager to contribute to quantitative research.

99.37
JEE Maths %ile
AIR 31
ISI BSDS Rank
4+
Research Projects
Utkarsh Bharadwaj

Academic Background

Tools & Technologies

Languages

Python R LaTeX

Libraries

NumPy ggplot2 lattice

Environment

Linux (Debian) VS Code RStudio Google Earth Pro

Statistical Methods

Poisson Processes QP Modeling Benford's Law Regression Analysis

Research & Work

Workshops & Seminars

Extremal Bayesian Deep Learning Framework for Prediction and Uncertainty Quantification of Weather Extremes

Dr. Rishikesh Yadav - Assistant Professor, IIT Mandi
SQC & OR Unit Seminar, ISI Delhi  ·  Jul 16, 2026

The talk presented a Bayesian deep learning framework for forecasting weather and climate extremes - heavy rainfall, heatwaves, floods, droughts, and tropical storms - using large-scale datasets such as ERA5 reanalysis. By combining neural network representation learning with Bayesian inference, the framework targets tail-risk estimation and uncertainty-aware probabilistic forecasts for climate risk assessment.

Personally took away a solid introduction to Extreme Value Theory - the GEV and GPD distributions, and the block-maxima vs. peak-over-threshold approaches to modeling extremes.

Bayesian Deep Learning Extreme Value Theory GEV / GPD Distributions Uncertainty Quantification

Honours & Recognition

📐

JEE Main 2025 - Mathematics

Secured 99.37 percentile in Mathematics, placing in the top 0.6% of applicants nationwide.

99.37 %ile

Let's Connect

Open to research collaborations, internships, and quantitative roles.