S

Surbhi Goel

Product Manager

New York, New York, United States9 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in theoretical foundations of machine learning.
  • Experience at Microsoft Research and leading academic institutions.
  • Strong educational background from top-tier universities.
Stackforce AI infers this person is a Machine Learning Researcher with a strong academic and industry background.

Contact

Skills

Other Skills

Software EngineeringMatlabC++Software DevelopmentCJava

About

I am the Magerman term assistant professor in the department of Computer and Information Science at the University of Pennsylvania. Previously, I was a postdoctoral researcher at Microsoft Research New York. My research focuses on the theoretical foundations of modern machine learning. Prior to this, I completed my PhD at the University of Texas at Austin advised by Adam Klivans. I received my Bachelors degree from Indian Institute of Technology (IIT) Delhi majoring in Computer Science and Engineering.

Experience

9 yrs 1 mo
Total Experience
1 yr
Average Tenure
3 yrs 3 mos
Current Experience

Simons institute for the theory of computing

Visiting Researcher

Sep 2025Dec 2025 · 3 mos

  • Co-organized the Special Year of LLMs and Transformers

University of pennsylvania

Assistant Professor of Computer and Information Science

Jan 2023Present · 3 yrs 3 mos · Philadelphia, Pennsylvania, United States · On-site

Microsoft

Postdoctoral Researcher

Jul 2020Dec 2022 · 2 yrs 5 mos · New York, United States

  • Working with the ML group at Microsoft Research NY

Institute for advanced study

Visiting PHD Student

Jan 2020Apr 2020 · 3 mos · Princeton, New Jersey, United States

Simons institute for the theory of computing

Research Fellow

May 2019Aug 2019 · 3 mos · Berkeley, California

  • Selected as a research fellow for the summer program "Foundations of Deep Learning"

The university of texas at austin

2 roles

Graduate Research Assistant

Sep 2018May 2019 · 8 mos · Austin, Texas, United States

Graduate Research Assistant

Sep 2017May 2018 · 8 mos · Austin, Texas Area

Google

Software Engineering Intern

May 2018Sep 2018 · 4 mos · Mountain View, California

  • Worked with Rina Panigrahy as part of Research and Machine Intelligence on understanding deep neural networks.

Dell emc

Research Intern

Jun 2017Aug 2017 · 2 mos · Austin, Texas

  • Worked with the acoustic team to predict throughput performance of hard drives in the presence of acoustical and vibrational noise.

The university of texas at austin

3 roles

Graduate Research Assistant

Sep 2016May 2017 · 8 mos · Austin, Texas

Graduate Teaching Assistant

Jan 2016May 2016 · 4 mos

  • Distributed Computing (Hons) (CS378H) with Prof Lorenzo Alvisi

Graduate Teaching Assistant

Aug 2015Dec 2015 · 4 mos

  • Data Structures (CS 314) with Prof Gordon Novak

Google

Software Engineering Intern

May 2016Aug 2016 · 3 mos · New York, New York

  • Worked with the Research and Machine Intelligence team on Machine Learning for Unbalanced Datasets

Indian institute of technology, delhi

Undergraduate Teaching Assistant

Jan 2015May 2015 · 4 mos

  • Data Structures with Prof Naveen Garg

Google

Software Engineering Intern

May 2014Aug 2014 · 3 mos · Mountain View, CA

  • Designed, implemented and validated an automated bidding model for hotel advertisements targeted at achieving a specified value to cost ratio.

University of michigan

Research Scholar

May 2013Jul 2013 · 2 mos · Ann Arbor, MI

  • Modified existing symbolic execution tool (KLEE) to automate test case generation for an autograder.

Education

The University of Texas at Austin

Doctor of Philosophy (PhD) — Computer Science

Jan 2015Jan 2020

The University of Texas at Austin

Master of Science - MS — Computer Science

Jan 2015Jan 2019

Indian Institute of Technology, Delhi

Bachelor of Technology (B.Tech.) — Computer Science and Engineering

Jan 2011Jan 2015

Delhi Public School - R. K. Puram

Jan 2004Jan 2011

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