Michelle Li

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Email: mli5@caltech.edu

Github: michelleli18

Caltech Computing + Mathematical Sciences.

Hola! My name is Michelle and I’m a senior at Caltech studying Computer Science and Information and Data Science. I love tackling complex, unanswered problems (many with data constraints) that require unique innovations to work through. Specifically, I strive to find those related to helping others and our communities.

At school, I am in the Yue Lab with Prof. Yisong Yue for neuroscience + AI projects and frequently collaborate with Prof. Katie Bouman’s Computational Cameras Lab as well. I continue to be inspired every day by both my PIs and their labs, their dedication, attention to rigor, and curiosity to explore the unknown heavily influences my research outlook. My current research involves decoding brain signals and diffusion models for inverse problems. As mentioned, the specific format of the data varies (images, time series, neuron spikes, etc) but most projects deal with a significant lack of data. I enjoy thinking critically about how to extract more from less. I am honored to be supported by the Mellon Mays Undergraduate Fellowship.

Over the summers, I enjoy venturing out into industry. I’ve had the honor to work with the NVIDIA Autonomous Vehicles Safety Team, Uber AI Michelangelo Team and Uber Spark Team (in order of recency).

In my free time, I enjoy reading, taking photos, running, and playing the guzheng :D

news

Nov 08, 2024 Presented our work Endless World Simulations for Generated Personas at the Mellon Mays Undergraduate Fellowship Western Regional Conference.
Jun 17, 2024 Summer Internship @ NVIDIA Autonomous Vehicles Safety Team!
May 03, 2024 Accepted as an MMUF (Mellon Mays Undergraduate Fellowship) Fellow!
Apr 05, 2024 Began our work to decode EEG data for imagined/executed movement
Nov 03, 2023 Presented our work Predictive Uncertainty with Uncertainty-awareness and Lower Dimensional Representations at Mellon Mays Undergraduate Fellowship Western Regional Conference.
Sep 29, 2023 Began our work to decode invasive neuron spiking data for image category classification
Sep 14, 2023 Attended the CMD-IT/ACM Richard Tapia Conference! Made a lot of cool friends and talked to researchers/schools, very grateful for the experience to expand my understanding of the field :D
Jun 17, 2023 Summer Internship @ Uber AI Michelangelo Team!
Jun 17, 2022 Summer Internship @ Uber Spark Team!