Sat, Sep 4, 1999
Hi there! I’m Justin.
Who am I?
I’m a junior at Harvard College studying math (with a focus on statistics), computer science, and english literature in order of time dedicated to each respective field.
What am I doing now?
I am excited to be working in Susan Murphy’s research lab with Tianchen Qian on generative models for health care. I am also a teaching fellow for STAT110 taught by Joe Blitzstein, who is my academic advisor along with James Mickens.
Previously, I spent a summer at Goldman Sachs modeling corporate derivatives and equities. Prior to that, I researched unsupervised learning techniques for early diagnosis of Parkinson’s Disease at the Technical University of Munich (TUM) and designed software for computational biologists at the Translational Genomics Research Institute (TGEN).
Broadly, I am interested in building tools for research in the quantitative sciences and being a better teacher.
“justinzhu at college dot harvard dot edu”
This is my little corner of the web, designed to help me jump into things on the Internet that are the most meaningful to me, but more importantly, this is a place to create serendipity with the world.
You can find the source code for my website at github under Zhu-Justin / Zhu-Justin.github.io. These files are licensed under the MIT License, which means you are free to take my template for your own use.
However, I do reserve all rights for the actual content of my ideas in writing – please reach out to me if you plan on distributing my papers or essays to others.
One of the main themes of life has been that change is the only constant. Ideally, I see this website being updated with new posts and essays every week.
Finally, I am prone to self-criticism, so don’t be surprised if old essays, posts, and projects get taken down and edited.
This website is dedicated to those who have strengthened my trust in the goodness of humanity. Time and time again, I find them to be the greatest source of inspiration for why I do the things I do. You know who you are. Thank you for everything.