Prateik Sinha

Machine Learning @ Carnegie Mellon University
Prev @ Dassault Systèmes, UCLA

Hello! My name is Prateik Sinha, I am a Master's student in the Machine Learning Department at Carnegie Mellon University. My research interests range from AI for Science to foundation models, generative AI, computer vision and interpretability. I'm currently researching AI for molecular dynamics with Professor Andrej Risteski.

Previously, I was a machine learning engineer at Dassault Systèmes where I worked on 3D computer vision for SolidWorks. Before that, I graduated from UCLA with majors in Mathematics of Computation and Statistics and Data Science. During this time I researched AI for atmospheric sciences with Professor Aditya Grover and AI for neuroscience with Professor Vwani Roychowdhury. I also served as the projects director of ACM AI at UCLA.

News

  • Aug 2025: Starting as a Master's student in the Machine Learning Department at Carnegie Mellon University
  • Oct 2024: AtmosArena has been accepted to two NeurIPS workshops
  • Aug 2024: Our paper on using synchronization networks to identify epileptogenic zones from iEEG recordings has been accepted by the American Epilepsy Society (AES 2024)
  • Apr 2024: Started as an ML engineer working on Solidworks at Dassault Systèmes
  • Mar 2024: Graduated from UCLA with a B.S. in Mathematics of Computation and Statistics and Data Science

Publications


2025

Time-Resolved Neuronal Network Dynamics Distinguish Pathological States in Organoid Models
Colin M. McCrimmon*, Prateik Sinha*, Qing Cao, Tonmoy Monsoor, Kartik Sharma, Mehmet Yigit Turali, Ranmal A. Samarasinghe, Vwani Roychowdhury
Submitted to ICASSP 2026
[Paper]

Zero-Shot Understanding of Medically-Induced Movements Using Multimodal Large Language Models
Lina Zhang, Prateik Sinha, Tonmoy Monsoor, Chong Han, Peizheng Li, Yuan Wang, Jessica Pasqua, Colin McCrimmon, Victor Morales, Hailey Marie Miranda, Rajarshi Mazumder, Vwani Roychowdhury
Submitted to ICASSP 2026
[Paper]

Automated Seizure Classification Using Multimodal Large Language Models
Lina Zhang, Richard Jiang, Tonmoy Monsoor, Jessica Nichole Pasqua, Colin M. McCrimmon, Prateik Sinha, Kartik Sharma, Muayad Alzuabi, Victor Morales, Hailey Marie Miranda, Chaya Manjeshwar, Vwani Roychowdhury, Rajarshi Mazumder
medRxiv preprint
[Paper]


2024

AtmosArena: Benchmarking Foundation Models for Atmospheric Sciences
Tung Nguyen, Prateik Sinha, Advit Deepak, Karen A. McKinnon, Aditya Grover
NeurIPS 2024 Workshop on Foundation Models for Science (FM4Science)
NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning (CCAI)
[Paper] [Leaderboard] [Code]

Mini-Seizures: Novel Interictal iEEG Biomarker Capturing Synchronization Network Dynamics at the Epileptogenic Zone
Tonmoy Monsoor, Sotaro Kanai, Atsuro Daida, Naoto Kuroda, Prateik Sinha, Shingo Oana, Yipeng Zhang, Lawrence Liu, Gaurav Singh, Chenda Duan, Myung Shin Sim, Aria Fallah, William Speier, Eishi Asano, Vwani Roychowdhury, Hiroki Nariai
In AES 2024 Conference
[Paper] [Poster]

Projects

  • people2vec (LA Hacks 2023: 3rd Place Overall)
  • A web app that matches you with people of similar interests by doing a similarity search on embeddings of your YouTube watch histories.
    [GitHub] [Devpost]

  • WikiSafe (HackMIT 2022: 2nd Place, Blockchain for Society)
  • A wiki that uses the Ethereum blockchain to create a public, immutable record of all the edits made to it to prevent vandalism. Also has a bunch of built in ML models to make editing easier.
    [GitHub]

  • KaoGPT (UCLA ECE C147 Final Project)
  • Comparing the performance of different text generation models.
    [Report]

Resume

Last updated: 10 Oct 2025