About

Portrait of Manu Upadhyaya

I am a post­doc­toral re­searcher with joint af­fil­i­a­tions at Inria Paris and École Normale Supérieure (ENS) in the Sierra team, working with Adrien Taylor, and at the Cen­ter of Ap­plied Math­e­mat­ics (CMAP) at École Polytechnique in the SIMPAS team, working with Aymeric Dieuleveut. I com­pleted my PhD at Lund Uni­ver­sity (2025), where I worked on sys­tem­atic and computer-aided anal­y­ses and design of first-order meth­ods for struc­tured op­ti­mi­za­tion and in­clu­sion prob­lems. My ad­vi­sors were Pon­tus Gi­sels­son and Se­bas­tian Ba­nert.

Before that, I received an MSc in en­gi­neer­ing physics (2020), an MSc in fi­nance (2020), and a BSc in math­e­mat­ics (2015), all from Lund Uni­ver­sity. I have also spent time as a vis­it­ing student re­searcher at UC Berkeley (2017) and ETH Zürich (2018).

News

I will be a vis­it­ing scholar at the ELLIIT focus period on op­ti­mi­za­tion for learning at Lund Uni­ver­sity, from April 20 to May 22, 2026.

Participants in the ELLIIT Optimization for Learning symposium standing together for a group photo in Lund
Group photo from the three-day symposium during the focus period in Lund. Many thanks to the organizers! Photo: ELLIIT.

The manuscript titled A Lyapunov analysis of Korpelevich’s extragradient method with fast and flexible extensions has been accepted for publication in the journal Mathematical Programming.

The manuscript titled The Chambolle-Pock method converges weakly with θ>1/2\theta > 1/2 and τσ‖L‖2<4/(1+2θ)\tau\sigma\lVert L \rVert^2 < 4/(1+2\theta) has been accepted for publication in the journal Op­ti­mi­za­tion Letters.

I successfully defended my PhD thesis. Many thanks to my opponent, Bartolomeo Stellato, and to the examining committee: Tony Stillfjord, Ion Necoara, and Masoud Ahookhosh.

Manu Upadhyaya after his PhD defense beside the front cover of his thesis

I will visit the Sierra team at Inria Paris from September 2024 until February 2025.

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