Highlights
This page contains my highlights
May 2023. Grateful to receive an award for my service as a TA
this semester from the Department of Computer Science at Cornell!
April 2023. Had a great time participating in Schonfeld’s inaugural PhD “datathon” in NYC, leveraging real
world assets to explore quantitative finance with portfolio managers and researchers.
January 2023. Excited to TA my first CS course starting this semester, CS4414 -
Systems Programming, taught by my co-advisor, Ken Birman! Happy to share that I passed
my Systems PhD Qualifying Exam!
October 2022. Attended the excellent 2022
IAP Cornell Workshop on the Future of AI and Cloud Computing where cloud experts from
academia (Cornell) and industry (AWS, Alibaba, JPMorgan Chase, etc.) presented their latest
work. Presented my
slides on
Leslie Lamport's seminal distributed systems paper, “Time, Clocks and the Ordering of Events in a Distributed
System” (fun fact: this sits among the most often cited CS papers out there and is
Lamport's most often cited work).
August 2022. Released my second app: WordDefiner - a lightweight, ad-free online dictionary. The
most challenging part of building this app was parsing the complex nested JSON structures
consisting of maps and lists from the Free Dictionary API (hat tip to this Medium article). Luckily, the Flutter SDK makes
showcasing entities within objects of the deserialized decoded JSON response in the UI quite
simple with its ListView.builder widget.
May 2022. Pleased to have Professor Ken Birman join my PhD committee as a CS minor member.
Looking forward to exploring ways of boosting smartness in cities by leveraging Cascade,
a performant C++ cloud application framework powered by optimized RDMA data paths, with his
group.
January 2022. Thrilled to be awarded a teaching assistantship (TA) for the Spring 2022
semester! My teaching assistantship will be for Project Management - ENMGT 5900/6910
taught by Professor Robert Newman, a senior lecturer in the Engineering Management program at
Cornell.
December 2021. Completed my first semester as a PhD student at Cornell. Check out my
group's final project report
and presentation from our
Learning
with Big Messy Data course. We tried to uncover the extent to which a company’s earnings
call affects their next day opening stock price using 3 datasets from Kaggle and methods like
Lasso and Huber for regression and gradient boosted tree ensemble for classification.
August 2021. After completing my second internship at ParallelChain Lab, I created an
online research database scraper. Excited to start my PhD at Cornell University on a
systems engineering departmental fellowship!
June 2021. Joined ParallelChain Lab, a blockchain-focused financial technology
start-up based in Hong Kong, as a returning software engineer intern.
May 2021. Received my Bachelor of Science – BS in Computer Engineering from Syracuse
University.