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I received my undergraduate degree in Computer Engineering and Applied Mathematics under the guidance of Benjamin Snyder; Graduate Degree in Computer Science under the guidance of Robert Nowak and Rebecca Willett -from the University of Wisconsin-Madison. From 2017-2023, I was employed by Amazon under the supervision of Daniel Marcu, as a scientist to work on Amazon and Alexa search.
In July 2022, I decided to switch focus from machine learning and pursue a doctoral degree in theoretical computer science under the supervision of Graham Cormode at the University of Warwick. I was awarded the Chancellors International Scholarship, which supports my doctoral studies.
Everything I write here reflects my own thoughts and not of the people or companies I’ve worked with. My thoughts often mimick those of Eric Idle: “Bally Jerry pranged his kite right in the how’s-your-father; hairy blighter, dicky-birded, feathered back on his sammy, took a waspy, flipped over on his Betty Harpers and caught his can in the Bertie.”
Authors are listed in alphabetical order of last name. An underline under authors’ name reflects that they were the primary authors. Otherwise, it is safe to assume equal contribution.
Interactive Proofs For Differentially Private Counting
Interactive Proofs For Differential Privacy (Extended Abstract)
Seeker: Real-Time Interactive Search
Adversarial principal component analysis
Hands-on introduction to computer science at the freshman level
NEXT is a computational framework and open-source machine learning
system that simplifies the deployment and evaluation of active learning
algorithms that use human feedback, e.g. from Mechanical Turk. The
system is optimized for the real-time computational demands of active
learning algorithms and built to scale to handle a crowd of workers any
size. The system is for active learning researchers as well as
practitioners who want to collect data adaptively.
Conference paper Github Website
Operating Systems And Network
University Of Warwick, Autmnn 2023
Computational Game Theory
Oxford University, Michelmas 2023
Introduction to Programming in Python (CS 301)
UW-Madison Fall. 2017
Introduction to Real Analysis (Math 521)
UW Madison, Spring. 2017
Introduction to Optimization (CS/ECE/ISyE 524)
UW Madison, Spring. 2016
Theory and Applications of Pattern Recognition (ECE/CS 532)
UW Madison, Fall. 2015
Introduction to Computer Engineering (CS 252)
UW Madison, Spring. 2012, 2014
Verifiable Differential Privacy
WPCSS - Warwick (2023), Amazon (2022), FOCS-Theory Day Warwick (2022)
Bandits For Online News Recommendation In Alexa AMLC (2021) - Amazon’s Internal Machine Learning Conference