Education
PhD in Computer Science, University of Cambridge
Subjects
AI for Mathematical Discovery, Mathematical Physics, Geometry, Number Theory
Achievements
Merit in the MSc in Mathematical and Theoretical Physics with a Distinction in the thesis from the University of Oxford; First Division with Distinction in the BTech in Engineering Physics from IIT Roorkee; Felix Scholarship (full funding at Oxford); Narotam Sekhsaria Foundation PG Scholarship; KVPY Scholar; All India Rank 3661 in JEE Advanced 2016 and 1998 in JEE Mains 2016; perfect 100/100 in Mathematics and Physics and 99/100 in Chemistry in 12th Grade CBSE Board exams
About
Daattavya is a PhD student in the Computer Lab at the University of Cambridge, working on using artificial intelligence for mathematical discovery. He has research experience in mathematical physics, geometry, and number theory and works at the forefront of interdisciplinary research combining mathematics, physics, and computer science. He has supervised Cambridge computer science undergraduates in coursework and their masters research.
Discipline
Computer Science & AI
Academic Achievements
Achieved a Merit in the MSc. in Mathematical and Theoretical Physics along with a Distinction in the thesis from the University of Oxford. Graduated with a First Division with Distinction in the B.Tech in Engineering Physics from the Indian Institute of Technology, Roorkee. Was awarded the prestigious Felix scholarship for a full ride at the University of Oxford and was also a recipient of the Narotam Sekhsaria Foundation PG Scholarship. I am a KVPY scholar and achieved an All India Rank of 3661 in JEE Advanced 2016 and 1998 in JEE Mains 2016. I was awarded a Merit Certificate for my performance in 12th Grade CBSE Board examinations, achieving a perfect 100/100 in both Mathematics and Physics and a 99/100 in Chemistry.
Teaching & Mentoring Experience
I have supervised first, second and third year computer science undergraduate students at the University of Cambridge in both coursework and their masters research. In total this amounts to 3 courses of 5-6 hours a week over a period of 8 weeks and 2-3 hours a week over a period of 6 months for a Masters research project.
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