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layout: about title: About permalink: / subtitle: 2nd Year PhD Student @ Columbia, Princeton CS ‘24
profile: align: right image: dwip_new.jpg image_circular: false # crops the image to make it circular # more_info: > # <p>555 your office number</p> # <p>123 your address street</p> # <p>Your City, State 12345</p>
news: true # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” social: false # includes social icons at the bottom of the page —
Hey! I primarily work on efficient policy optimization via reinforcement learning, foundational models for alternative data modalities (tabular, time-series, etc), and diffusion models. Prior to this, I did some work at the intersection of high-dimensional statistics and econometrics.
I am a PhD student at Columbia University advised by Anish Agarwal.
Before that, I graduated Summa Cum Laude from Princeton University with a B.S.E. in Computer Science and Math. Here, I was fortunate to be advised by Matt Weinberg. I received the department’s Outstanding Student Teaching Award for my TA contributions across several undergraduate and graduate courses.
Two of my favorite courses at Princeton were Stochastic Calculus and Advanced Algorithm Design. A sizeable chunk of my time at here was spent thinking about theoretical computer science and probability theory all of which I still love chatting about!
Feel free to reach out at ds4386 (at) columbia (dot) edu. Here is my CV.
555 your office number
123 your address street
Your City, State 12345
layout: about title: About permalink: / subtitle: 2nd Year PhD Student @ Columbia, Princeton CS ‘24
profile: align: right image: dwip_new.jpg image_circular: false # crops the image to make it circular # more_info: > # <p>555 your office number</p> # <p>123 your address street</p> # <p>Your City, State 12345</p>
news: true # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” social: false # includes social icons at the bottom of the page —
Hey! I primarily work on efficient policy optimization via reinforcement learning, foundational models for alternative data modalities (tabular, time-series, etc), and diffusion models. Prior to this, I did some work at the intersection of high-dimensional statistics and econometrics.
I am a PhD student at Columbia University advised by Anish Agarwal.
Before that, I graduated Summa Cum Laude from Princeton University with a B.S.E. in Computer Science and Math. Here, I was fortunate to be advised by Matt Weinberg. I received the department’s Outstanding Student Teaching Award for my TA contributions across several undergraduate and graduate courses.
Two of my favorite courses at Princeton were Stochastic Calculus and Advanced Algorithm Design. A sizeable chunk of my time at here was spent thinking about theoretical computer science and probability theory all of which I still love chatting about!
Feel free to reach out at ds4386 (at) columbia (dot) edu. Here is my CV.