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
Bachelor of Science (B.Sc.), Physics, Bachelor of Science (B.Sc.), Physics at Ramnarain Ruia College - Mumbai
Dr. rer. nat., Theoretical and Mathematical Physics, Dr. rer. nat., Theoretical and Mathematical Physics at The University of Bonn
Master of Science (M.Sc.), Nuclear physics major, Master of Science (M.Sc.), Nuclear physics major at University of Mumbai
Habilitation , Theoretical and Mathematical Physics, Habilitation , Theoretical and Mathematical Physics at University of Graz
French, German, Hindi, Marathi, English