This event has concluded. We'll update this page with recordings soon.
Meanwhile, checkout the livestream on YouTube: https://www.youtube.com/watch?v=LyOsXs7QORs

A Panel on Fellowships

We are organizing a panel to help graduate students in Computer Science and related fields with Fellowships. The panelists will include people who have won various fellowships in the past.

The panel will be a one-hour live session with pre-sourced questions and live discussion. All students interested in getting a fellowship are invited to join and ask questions!

Submit your questions!

Research Statements

Our panelists have graciously provided research statements they used for their applications!

  1. Shimaa Ahmed
  2. Mark Zhao
  3. Yuke Wang
  4. Yang Zhou


(Ordered by last name)

Shimaa Ahmed's Potrait Shimaa Ahmed | Researcher at Visa Research

Shimaa's research experience includes work on speech-related machine learning models such as speech recognition, keyword spotting, voice cloning, and speaker identification, and generative AI for image generation and manipulation for face recognition applications, and LLMs governance. I also have experience on privacy-preserving techniques such as differential privacy and training on private data.

Yuke Wang's Potrait Yuke Wang | PhD Student at UC Santa Barbara

Yuke Wang is a final-year Doctor of Philosophy (Ph.D.) candidate in the Department of computer science at the University of California, Santa Barbara (UCSB). He got his Bachelor of Engineering (B.E.) in software engineering from the University of Electronic Science and Technology of China (UESTC) in 2018.

Mark Zhao's Potrait Mark Zhao | Ph.D. Candidate at Stanford University

Mark Zhao's research centers around designing systems to improve the scalability, performance, and security of datacenter-scale applications such as machine learning. He is currently building systems that enable large-scale machine learning training and serving pipelines.

Yang Zhou's Potrait Yang Zhou | PhD Student at Harvard

Yang Zhou is a final-year Ph.D. candidate in Computer Science at Harvard University, advised by Prof. Minlan Yu and Prof. James Mickens. He received a B.S. in Computer Science at Peking University in 2018, working with Prof. Tong Yang on probabilistic data structures for network telemetry. He is supported by a Google PhD Fellowship in Systems and Networking.

Get in touch with us at contact@students-at-systems.org if you have any questions.