Sadhika Malladi

I am a PhD student in computer science at Princeton University, where I work on theoretical machine learning with Sanjeev Arora. I graduated from MIT in 2019 with a degree in mathematics and philosophy. I worked at OpenAI in 2018 and 2019 on model-based reinforcement learning and language modeling.

In my free time, I like to ride my bike, read, and watch sports. You can reach me at [my first initial][my last name] (at) princeton (dot) edu. I adapted this website from Gregory Gunderson.


Teaching and Service

TA for COS 324 (Introduction to ML) in Fall 2020 and Fall 2021 at Princeton.
I received a Graduate School Teaching Award for my work in Fall 2020 and served as the Head TA in Fall 2021.

McGraw Teaching Transcript Program
I am in the process of obtaining the McGraw Teaching Transcript. The program requires completing pedagogical workshops, participating in a class observation, and developing a complete syllabus for a class along with a statement of teaching philosophy.

McGraw Teaching Fellow
As a McGraw Teaching Fellow, I train new TAs and help develop the training program.

TA for New Horizons in Theoretical Computer Science 2021.
The summer school emphasizes exposing undergraduate students (especially those from underrepresented groups) to prominent research areas in TCS. I worked with and mentored a small group of students.

Outstanding reviewer (top 10%) at ICML 2022.

2022 IAS Program for Women and Mathematics (WAM)
I helped read applications for the program, which focused on machine learning.

Workshop on the Mathematical Quest for Deep Learning at 9th HLF.
I attended the 9th Heidelberg Laureate Forum (HLF) and co-hosted a workshop on the quest for a mathematical understanding of deep learning alongside Sanjeev Arora.