About

Hi, I am Mriganka! I am a 3rd year Doctoral Candidate at the Department of Statistics, UC Berkeley, supervised by Shirshendu Ganguly. I am broadly interested in various topics in modern probability, including spin systems, spectra of matrices, random graphs, Gibbs measures, and mixing times. You may find my academic resume here and my industrial resume here (they are slightly different in emphasis and conciseness).


My student email address is: mriganka_brc at berkeley dot edu

My personal email address is: mbrc12 at gmail dot com

Papers
For each paper below, you will find an associated description. It is intended to be an accessible explanation of the main goal of the work. Detailed abstracts will be found in the link to the paper.
Characterizing Gibbs states for area-tilted Brownian lines
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Universality in prelimiting tail behavior for regular subgraph counts in the Poisson regime
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Teaching

I am currently a GSI for STAT 154/254 (Modern Statistical Prediction and Machine Learning), which is being taught by Nikita Zhivotovskiy.

In the past, I have been a GSI for STAT 205A (which is a graduate-level probability class), STAT 134 (which is an upper-division probability class for undergraduates), and STAT 88 (which is a more introductory variant of STAT 134 combined with some emphasis on statistics).

Extras

Apart from research, I spend a significant amount of time coding, making simulations (often probabilistic in nature!) and (simple/incomplete) games. Although I am no longer active in the scene, I used to participate quite frequently in competitive programming competitions, for example, on Codeforces (mbrc) and Codechef (mbrc). Once a year, I would also participate in the now-defunct but celebrated Google Code Jam. In 2021, I (with my team of 3) qualified for the ICPC World Finals, held in Moscow, Russia.

These more "scientific" pursuits aside, I also enjoy gaming, listening to music, reading manga, and watching anime/TV shows. I participated (as a team of one) in one of the biggest game jams, the GMTK Game Jam 2023 - a 48-hour game jam based around a theme. My entry, A Conscious Virus, can be found here.