CV
Education
Massachusetts Institute of Technology (MIT), Cambridge, MA
Ph.D. Candidate, Interdisciplinary PhD in Brain and Cognitive Sciences and Statistics
Sept 2021 – Present
B.S. in Computation and Cognition, Minor in Statistics and Data Science
Sept 2017 – June 2021
Research Experience
Graduate Research Assistant, McGovern Institute for Brain Research, MIT
March 2022 – Present
Graduate Rotation Student, Brain and Cognitive Sciences, MIT
Oct 2021 – Feb 2022
Summer Course Participant, Methods in Computational Neuroscience, MBL
July 2023 – Aug 2023
Summer Course Participant, Neurophysics of Locomotion, KITP
July 2022 – Aug 2022
ELO Intern, MIT International Science and Technology Initiatives, Remote
June 2020 – Aug 2020
Undergraduate Researcher, UROP, McGovern Institute, MIT
June 2018 – Dec 2020
Work Experience
Triplet Therapeutics, Cambridge, MA
Bioinformatics Intern
Jan 2021 – March 2021
Software Development Intern
July 2019 – Sept 2019
Saint Lucia Distillers Group of Companies, Castries, St. Lucia
Quality Assurance Analyst
July 2016 — June 2017
Teaching Experience
Teaching Assistant, MIT, Cambridge, MA
Principles of Neural Computation in Brains and Machines
Feb 2023 – May 2023
Emergent Computations in Distributed Neural Circuits
Sept 2023 – Dec 2023
Tutor/Lab Assistant, MIT, Cambridge, MA
Fundamentals of Programming
Sept 2018 – Dec 2018
Introduction to Neural Computation
Feb 2019 – May 2019
MIT Global Teaching Labs
Instructor - Cardiff, Wales
Jan 2020
Instructor - Johannesburg, ZAF
Jan 2019
Publications
Preprints:
- Simeon et al. (2024). “Scaling Properties For ANN Models of a Small Nervous System.” IEEE Xplore
- Haspel et al. (2023). “To Reverse Engineer an Entire Nervous System.” arXiv
Acknowledged In:
- Verbe et al. (2024). “Flies Tune the Sensitivity of Their Multifunctional Gyroscope.” bioRxiv
- Friedman et al. (2020). “Striosomes Mediate Value-Based Learning Vulnerable in Age ….” Cell
Skills
| Computer Programming | Analytical | Software |
|---|---|---|
| Python, MATLAB, C, R | ML, AI, Statistics, Data Science | PyTorch, OpenAI APIs, Gym |
Coursework
AI & ML, Statistics & Data Science, Statistical Learning, Discrete Math & Linear Algebra, Neural Circuits & Computational Neuroscience, Developmental Biology, Molecular & Cellular Neuroscience
Leadership and Honors
| Leadership | Honors |
|---|---|
| Co-President, IEEE-HKN Beta Theta Chapter | Instructor, SPISE 2020 Computer Programming |
| Oxford Rhodes Finalist, Commonwealth Caribbean | Beta Chapter of Theta Chi at MIT |