EDUCATION

Macaulay Honors College at Hunter College
Bachelor of Arts, 2018- 2022
GPA: 3.9; Summa Cum Laude
Majors: Mathematics, Computer Science

Honors and Awards:

Full merit scholarship to Macaulay Honors College (4 years)
John P. McNulty Scholarship for Leadership in Science and Math (2 years)
Pi Mu Epsilon President (2021- 2022)
The Isabel Weil Gros Award for Excellence in Mathematics, 2021
Phi Beta Kappa

RESEARCH EXPERIENCE

Research Analyst, Center for Computational Neuroscience

Flatiron Institute of Simons Foundation, NYC, NY, June 2022-June 2024 (PI: Dr. SueYeon Chung)

Worked on analyzing the geometry of underlying neural representations in artificial and biological neural networks, as well as constructing innovative neural network models guided by neuroscience
Used methods in statistical physics and machine learning to i) develop extensions of perceptual manifold theory to quantify the untangling of feature representations in neural networks, ii) provide geometrical interpretations of representational manifolds, iii) interpret the organization of neural manifolds in a high dimensional space for both deep neural networks and real neural data

Research Intern, Massachusetts Institute of Technology Summer Research Program

Massachusetts Institute of Technology, Cambridge MA, June 2021-August 2021 (PI: Dr. Jim DiCarlo)

Under the supervision of Dr. Tiago Marques (DiCarlo lab), focused on understanding the neuronal algorithms and circuits underlying visual object recognition
Evaluated and improved the performance of computational models on object recognition tasks to predict the behavioral output of the human visual system given out-of-distribution stimuli

Research Intern, Englander Institute of Precision Medicine Internship

Weill Cornell Medical Center, NYC, September 2020-May 2021 (PI: Dr. Olivier Elemento)

Developed learning models for predicting sleep disorder, focused on innovative approaches to better diagnose, treat, and prevent diseases using high performance computing, mathematical modeling, and artificial intelligence/machine learning
Wrote python scripts to process sparse data of sleep patients at the Sleep Neurology Division at Weill Cornell and build a multivariate logistic regression and a random forest model to predict sleep apnea

Research Intern, Research Experience for Undergraduate, funded by NSF

Oregon State University, June 2020-August 2020 (PI: Dr. Juan Restrepo)

Worked on modeling epidemics using SIR-macro models to study the their relationship with various economic factors and epidemics
Implemented a compartmental model of susceptible, infected and recovered population on python and studied Stochastic methods to design a time-dependent economic model with a random characteristic

PUBLICATIONS AND PREPRINTS

Manuscripts:

Nga Yu Lo, SueYeon Chung (2022). “Efficient neural representation in the cognitive neuroscience domain: Manifold Capacity in One-vs-rest Recognition Limit.”
Devin Goodwin, Nga Yu Lo, Kristen Maggard, Miranda Reed, Juan Restrepo. (2020) “Economic Drivers In Modeling Pandemics”

TALKS AND PRESENTATIONS

“Representational geometry of hierarchical category structures in the monkey inferotemporal cortex.” Cosyne 2024, March 3, 2024.
“Evaluating Object Recognition Behavior Consistency on Out-of-Distribution Stimuli.” Hunter College Applied Math Seminar, Hunter College, October 28, 2021.
“Predictive Model for Obstructive Sleep Apnea using Machine Learning Methods.” Hunter College Undergraduate STEM Research Conference, Hunter College, May 6-7, 2021.

WORK EXPERIENCE

Research Analyst, Flatiron Institute of Simons Foundation, NYC, NY, June 2022-Present

Managed internal lab affairs including regulating codebases, maintaining lab website, and communicating with speakers, office administrators, and lab members to coordinate group meetings
Directed interviews with professional web developers on behalf of Dr. Chung to hire for website design

College Assistant, Hunter College Dolciani Math Learning Center, NYC, August 2019- May 2022

Working in the walk-in tutoring center, reinforced students’ understanding of precalculus and calculus in preparation for classes in the sciences and advanced mathematics
Working in the classroom, assisted students with completing their classwork by answering questions and reinforcing materials through additional examples
Additionally tutored students in one-on-one sessions providing individualized approach

Undergraduate Teaching Assistant, Hunter College Computer Science Department, NYC, August 2020- May 2021

Tutored students of the Introduction to Computer Science course in Python and C++ programming language, including Python packages such as Matplotlib, Numpy, Pandas, and Folium
Helped students with programming assignments by using examples from lectures to strengthen their critical thinking skills in problem solving and debugging, while motivating them to work independently

PROFESSIONAL DEVELOPMENT

Quantitative Methods Workshop Participant

Massachusetts Institute of Technology, January 4-9, 2021

Attended week-long intensive workshop learning MATLAB to analyze data from biology and neuroscience experiments
Led a diverse group of students across different campuses of the US in collaborative exercises Attended lectures on current research topics from MIT faculty in the biology department and the Center for Brains, Minds, and Machines

Hunter College, NYC, January 13-16, 2020

Worked in teams to program small autonomous vehicles using Raspberry Pi platform, running Robot OS and Ubuntu
Collected and analyzed data from autonomous agents, focusing on image capturing and simplified lane following to navigate a scaled-down city track

RELEVANT COURSEWORK:

Artificial Intelligence
Machine Learning
Deep Learning
Numerical Methods
Bayesian Statistics
Advanced Probability Theory (Graduate Level)
Measure Theory (Graduate Level)
Functional Analysis (Graduate Level)
Mathematical Real Analysis

Other

SKILLS: Python (Scikit Learn, Pytorch, Tensorflow, Matplotlib, Numpy, Scipy, Pandas), C++, Julia, MATLAB, Slurm, Latex, Microsoft Office, GIMP Photoshop, Inkscape

GITHUB: https://github.com/ngayulo

LANGUAGES: Cantonese (native); Spanish (intermediate); German (intermediate)

Page design by Ankit Sultana