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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Sat, 29 Nov 2025 21:54:42 GMT access-control-allow-origin: * etag: W/"692b6ba2-7637" expires: Mon, 29 Dec 2025 08:46:03 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: D875:3ABDEF:8775F4:984F58:69523D72 accept-ranges: bytes age: 0 date: Mon, 29 Dec 2025 08:36:03 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210072-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1766997363.332118,VS0,VE220 vary: Accept-Encoding x-fastly-request-id: 3fb8c39f6ba137208e0fc049fa9e095ea4b281ac content-length: 6309 Sarthak Mittal - Portfolio

Sarthak Mittal

Ph.D. Student at MILA, Université de Montréal

I am a final year PhD candidate at Mila, where I work with Guillaume Lajoie and Yoshua Bengio. My research spans meta-learning, amortized inference, diffusion models and variational methods, and large language model optimization — from pretraining to post-training.

During my PhD, I also spent time at various research labs including Google, Meta, Apple, NVIDIA, Morgan Stanley and Uber ATG, where I tackled problems ranging from long-context meta-learning and LLM pre-training to probabilistic forecasting and distillation.

I am primarily interested in improving the capabilities of current large-scale systems, from leveraging inductive biases in their architectures to latent variable modeling (analogously RL) as a framework for improving both reasoning and long-context abilities.

Contact: sarthmit@gmail.com

Education

Mila, Université de Montréal Sept '22 - Jan '26 (Expected) Degree: Ph.D. in Computer Science | Fast-tracked from M.Sc.

GPA: 4.3/4.3

Advisors: Guillaume Lajoie, Yoshua Bengio

Indian Institute of Technology (IIT) Kanpur Jul '15 - May '19 Degree: B.S. in Mathematics and Scientific Computing

GPA: 9.7/10.0.

Awarded Suman Gupta Gold Medal

Dean's List for Academic Excellence every year

Experience

Sept '25 - Present

Google

Student Researcher

Hybrid systems for efficient inference in large language models

Sept '24 - Aug '25

Scholarships

FRQNT Doctoral Scholarship

UNIQUE PhD Excellence Scholarship

IVADO MSc Excellence Scholarship

UNIQUE MSc Excellence Scholarship

Thinking Machines (Tinker) Research Grant

KVPY Fellowship

Academic Service

Frontiers in Probabilistic Inference: Sampling Meets Learning: Helped organize the workshop at ICLR'25
Reviewer: ICML, ICLR, NeurIPS, IJCAI, ACL, ACML, NeurIPS Datasets and Benchmarks Track
Teaching Assistant: IFT-6135: Representation Learning during Fall ’22
Admissions Committee: Reviewed graduate school admissions at Mila for 2024 and 2025

Last updated: November 2025

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