Harvard University

The Harker School

SWE Intern at Google  -  Math + CS @ Harvard

Cambridge, Massachusetts, United States

Selected to join competitive consulting group with less than 10% acceptance rate through rigorous application process. Developed actionable recommendations for industry clients with a combined market capitalization of over $4.5T since 2016.

Harvard College Consulting Group

Associate

Google

Software Engineering Intern

One of the 30 college students selected to attend this winter immersive program. Learned about trading strategies, quantitative analysis, optimal decision-making, arbitrage, and financial markets through workshops, lectures, and mock-trading games.

Jane Street

INSIGHT: Quantitative Trading

Full stack development experience in Expedia lodging shopping.

Expedia Group

Worked at Kundaje Lab in the Department of Genetics and Computer Science. Trained interpretable deep learning models to predict transcription factor binding and interpret the models to identify disease-causing mutations. - 1st-author poster presentation at EpiBio 2018. <a href="https://aiche.confex.com/aiche/epibio18/webprogram/Paper544236.html.-">https://aiche.confex.com/aiche/epibio18/webprogram/Paper544236.html.-</a> 2nd-author paper “TF-MoDISco: Discovering High Quality, Non-redundant Transcription Factor Binding Sites through Deep Learning,” <a href="https://arxiv.org/abs/1811.00416.-">https://arxiv.org/abs/1811.00416.-</a> 2019 Regeneron Science Talent Search Scholar

Stanford University

Research Intern (Deep Learning)

Bioinformatics intern at the Heng Lab. Developed an automated 2-tier ccRCC grade classification system using whole slide images. Classification results are strongly associated with cancer prognosis and outperformed pathologists’ grade assignment. - National finalist, 2017 Siemens Competition ($25K award)- Co-first author poster, USCAP 2018- Co-first author PLOS ONE Journal (peer reviewed), 2019: <a href="https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0222641">https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0222641</a>

Harvard Medical School

Research Intern (Machine Learning)

1 of 24 participants selected globally to attend; all expenses paid. Learned about AI techniques and applications; worked on leukemia classification project.

Katherine Tian