Summary
Suchita Kulkarni is a Group Leader and machine learning engineer with 11 years’ experience translating theoretical particle physics into data-driven models that inform collider experiments. She leads a research group at the University of Graz, managing over €1M in funding, supervising PhD and MSc students, and teaching graduate courses on data modeling and theoretical physics. Her work spans building public Python tools (notably SModelS used by multiple research groups), leading LHC-focused projects, and publishing extensively while delivering invited talks internationally. Comfortable at the intersection of theory and experiment, she combines deep physics foundations (PhD, magna cum laude) with practical software and visualization workflows that make complex models testable. A less obvious strength is her track record of turning pedagogical activities—from graduate teaching to regional seminars—into reproducible research tools and community-facing code.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at The University of Bonn
Master of Science (M.Sc.), Nuclear physics major, First class with distinction, Master of Science (M.Sc.), Nuclear physics major, First class with distinction at University of Mumbai
Bachelor of Science (B.Sc.), Physics, First class with distinction, Bachelor of Science (B.Sc.), Physics, First class with distinction at Ramnarain Ruia College - Mumbai
French, German, Hindi, Marathi, English