About

Research interests

Machine learning and AI. Sparse neural networks, structured connectivity, neural network initialization, pruning, fine-tuning, LLM pretraining, lottery ticket hypothesis.

Mathematics. Arithmetic combinatorics, additive number theory, approximate groups, algebraic graph theory, expander graphs.

The full list is on the publications page, and the notes are write-ups of individual papers.

Other scientific activities

Programme committee. AAAI 2026, AAAI 2027.

Reviewing, machine learning and AI. ICLR, ICML, NeurIPS, AAAI.

Reviewing, mathematics. AMS, LMS, PEMS, European J. Combin., J. Group Theory, J. Graph Theory, Discrete Math., J. Number Theory, J. Algebra.

Doctorate

Topic: Theory of approximate groups and its applications.
Advisor: Prof. Emmanuel Breuillard.

Institution: Laboratoire de Mathématiques d’Orsay, Université Paris-Saclay (formerly Université Paris-Sud XI, Orsay).

Mathematics Genealogy

Postdoctoral and visitng positions

1. Isaac Newton Institute for Mathematical Sciences, University of Cambridge
2. Fakultät für Mathematik, Universität Wien
3. Faculty of Mathematics, Technion
4. Institut for Matematiske Fag, Københavns Universitet

Before the doctorate

1. B.Sc., RKM Vidyamandira, India.
   Fellowships: KVPY and JBNSTS.
2. Cycle Ingénieur Polytechnicien, École Polytechnique, France.
   Fellowship: Eiffel Excellence.
   Final specialisation in mathematics and computer science.

Internships

M1 — Representation theory of $\mathrm{SL}_2(\mathbb{R})$.
Advisor: Prof. Ju-Lee Kim.
Department of Mathematics, Massachusetts Institute of Technology.

M2 — Structure of approximate groups.
Advisor: Prof. Emmanuel Breuillard.
Laboratoire de Mathématiques, Université Paris-Sud XI, Orsay.

Industry — AXA, Paris, under the pluridisciplinary requirement of the Cycle Ingénieur Polytechnicien.