Splash Biography

ADITYA BHARGAVA, Cal senior studying physics and computer science

Major: Physics, Computer Science

College/Employer: UC Berkeley

Year of Graduation: 2026

Brief Biographical Sketch:

Hi! I'm Adi, and I'm a senior from Mumbai, India exploring physics and computer science at UC Berkeley. In my spare time, I enjoy hiking, gaming (hmu for LoL strats), reading and playing table tennis, and being a professional idiot in particle physics.

Past Classes

(Clicking a class title will bring you to the course's section of the corresponding course catalog)

M1554: A Practical Tour of Deep Learning Architectures in Splash Fall 2025 (Nov. 09, 2025)

Get conceptual insight into modern ML in two hours: see how convolutional filters reveal hidden features, observe data structure emerge through dimensionality reduction, harness multilayer perceptrons for pattern interpretation, and learn how transformers predict the next word. A high-level overview into core Deep Learning and ML concepts!

M1555: Machine Learning and Statistical Paradigms for the Physical Sciences in Splash Fall 2025 (Nov. 09, 2025)

Explore real-life applications of commonly used ML techniques and overarching data analysis paradigms in the physical sciences. This class is designed to introduce and build on the fundamentals of industry and publication-worthy data analysis, going from traditional ML and data analysis examples to applications in scientific research and industry. Ideal for those with an interest in computer science, statistics and physics, this class provides valuable insights into the evolving landscape of STEM disciplines Note: This class is for advanced students only - familiarity with mathematics and statistics will significantly enhance your experience.

M1433: Machine Learning and Statistical Paradigms for the Physical Sciences in Splash Spring 2025 (Apr. 13, 2025)

Explore applications of commonly used ML techniques and overarching data analysis paradigms in the physical sciences. This class is designed to introduce and build on the fundamentals of industry and publication-worthy data analysis, going from traditional ML and data analysis examples to applications in scientific research and industry. Ideal for those with an interest in computer science, statistics and physics, this class provides insights into the evolving landscape of STEM disciplines.

M1351: Machine Learning and Statistical Paradigms for the Physical Sciences in Splash Fall 2024 (Nov. 16, 2024)