RichardSollee.com

I am currently a first year graduate student at MIT working on my Master of Engineering in Computer Science which I anticipate graduating with in 2024. I completed my undergrad at MIT in 2023 with a double major in Computer Science & Engineering (6-3) and Physics (8-flex). Information about my experience is available on my LinkedIn and my Resume.

Research

I am a member of the COMMIT Group in the CSAIL research lab at MIT which focuses on compilers. My current research involves optimizing Lattice Quantum Chromodynamic computations through the autogeneration of Halide compiler code via a simple description of the system. This allows automating the code generation for the computations instead of handwriting the code as done in the past.

Results

Classes Taken

MEng (5th Year)

Fall
  • 6.5440/6.S954: Algorithmic Lower Bounds

Senior

Fall
  • 6.106: Software Performance Engineering
  • 6.8611: Quantitative Methods for Natural Language Processing
  • 21M0.053: Rhythms of the World
  • GENED 1074 (Harvard Class): The Ancient Greek Hero
Spring
  • 6.506: Algorithm Engineering (Graduate Level)
  • 6.512: Formal Reasoning about Programs (Graduate Level)

Junior

Fall
  • 6.046: Design and Analysis of Algorithms
  • 6.170: Software Studio
  • 6.840: Theory of Computation (Graduate Level)
  • 8.05: Quantum Physics II
  • 8.13: Experimental Physics I
Spring
  • 6.033: Computer Systems Engineering
  • 8.06: Quantum Physics III
  • 14.13: Psychology and Economics
  • 21H.154: Inventing the Samurai

Sophomore

Fall
  • 6.009: Fundamentals of Programming
  • 6.006: Intro to Algorithms
  • 8.03: Physics III
  • 8.033: Relativity
  • 3.091: Intro to Solid State Chemistry
  • 21H.007: Intro to Ancient and Medieval Studies
IAP
  • 6.S191: Intro to Deep Learning
  • 6.S095: Intermediate Probability Problem Solving Techniques
Spring
  • 6.031: Elements of Software Construction
  • 6.004: Computation Structures
  • 8.04: Quantum Physics I
  • 8.044: Statistical Physics I
  • 7.016: Intro Biology
  • 9.00: Intro to Psychological Science

Freshman

Fall
  • 8.022: Physics II
  • 18.03: Differential Equations
  • 6.034: Artificial Intelligence
  • 21W.021: Writing and Experience: MIT Inside, Live
IAP
  • 8.223: Classical Mechanics II
  • 6.S089: Intro to Quantum Computing
Spring
  • 6.08: Intro to EECS via Interconnected Systems
  • 6.036: Intro to Machine Learning
  • 6.042: Mathematics for Computer Science
  • 18.06: Linear Algebra
  • 21H.336: The Making of a Roman Emperor