I’m a sophomore at the University of Chicago double majoring in Computer Science and Statistics. I am also an Odyssey Scholar and a Rise Global Winner declared by Schmidt Futures and Rhodes Trust. I’m actively involved with research in data science, generative AI, machine learning, and computer vision. I’m the founding director of the Machine Learning Group at UChicago ACM. I am also passionate about financial markets, international relations, government, and am learning 中文 .
↠ In Summer 2024, I interned as a data science analyst at Gallus Insights where I worked directly with company leadership and the CEO to develop strategies for the firm’s data management using quantitative methods on Cloud.
↠ I also served as a research assistant under Prof. Shaoda Wang and Prof. Daniel Chen at the Becker Friedman Institute, and used LLMs and algorithmic techniques to analyze, classify, and study judicial documents for study finding the relation between court outcomes and expert witnesses.
↠ From 2021-2023, I worked under Prof. Bernhard Egger at MIT and FAU Erlangen-Nürnberg to develop a way to pre-train CNN models with synthetic 3D image databases as first-author. [NeurIPS 2021 pre-registration workshop] Link
↠ I graduated in 2023 as head boy from my high school, Delhi Public School RK Puram, India.
Visit my Linkedin to view past experiences.
I am always open to guiding high schoolers (and beyond) in navigating opportunities, college admissions, machine learning, or life — feel free to contact me at shubhaankar[at]uchicago.edu!