Marton Havasi is a FAIR Senior Research Engineer at Meta with a strong academic background, including a PhD from the University of Cambridge. His expertise lies in machine learning uncertainty, robustness, reliability, and both data and model compression, areas he has explored throughout his career.
His research consistently focuses on advancing the dependability of AI systems, drawing from his postdoctoral work at Harvard University and internships at Google Brain.
His PhD thesis from the University of Cambridge was focused specifically on the topic of "Uncertainty in Deep Learning. "
Marton Havasi
FAIR Senior Research Engineer at Meta
Cambridge, Massachusetts, United States
Overview
Topics They Care About
AI Uncertainty
This is a primary focus of his research and the subject of his PhD thesis, aiming to make machine learning models more reliable.
Model Compression
He has a stated interest in creating more efficient and less computationally expensive AI models while maintaining high performance.
Machine Learning Robustness
His work aims to build AI systems that are consistently reliable and perform well under a variety of conditions.
Media Appearances
Marton has no verified media appearances
Work History
12-2023
FAIR Senior Research Engineer at Meta
3-2023 - 11-2023
Perception system engineer at Motional
9-2021 - 7-2023
Postdoctoral Researcher at Harvard University
6-2020 - 9-2020
Research Intern at Google
6-2019 - 8-2019
Research Intern at Google Brain at Google
Education
2017 - 2021
Doctor of Philosophy - PhD from University of Cambridge
2016 - 2017
Master of Philosophy - MPhil from University of Cambridge
More Information
Social Presence :
Prographics :
Exp : 4
Location : Cambridge, Massachusetts, United States
Job Level : Junior
Designation : FAIR Senior Research Engineer at Meta
