Emily Kwan
ekwan31@gatech.edu | (408)-656-9983 | www.linkedin.com/in/emily-kwan-
EDUCATION
Georgia Institute of Technology, Atlanta, GA August 2024 - May 2028
Bachelor of Science in Computer Science
Courses: CS 1554 - Linear Algebra, CS 2050 - Introduction to Discrete Mathematics
The Harker School, San Jose, CA August 2020 - May 2024
Courses: Compilers & Interpreters, Neural Networks, Multivariable Calculus
WORK & RESEARCH EXPERIENCE
Computational Neuroscience Research Intern January 2023 - May 2024
Stanford University, Parvizi Lab
● Processed voice data to validate a Whisper model used to transcribe patient responses in a word recall activity.
● Developed MATLAB program for automatic categorization of electrodes in different regions of a 3D brain map.
● Composed formal report on the mapping of the somatosensory cortex, synthesizing findings of 30+ research papers.
Computational Neuroscience Research Intern July 2023 - August 2023
Boston University Research in Science and Engineering Program (BU RISE), Amy Monasterio
● Designed and developed Python NEURON simulation of a schizophrenic neuronal network to study potential protein treatment.
● Leveraged matplotlib and numpy to model neuron firing, synaptic circuitry, and neuronal network oscillation.
● Wrote abstract and presented poster at RISE symposium (200+ attendees).
Astrophysics Research Intern June 2022 - January 2023
UC Santa Cruz Science Internship Program (SIP), Professor Dr. Martin Gaskell
● Modeled and analyzed the effects of dust on the reddening around an active galactic nucleus (NGC 7469).
● Coauthored “The reddening of NGC 7469 and evidence for variable extinction.”
● Presented poster and abstract at the American Astronomical Society’s meeting in January 2023.
Computational Neuroscience Research Intern June 2022 - September 2022
University of Illinois Urbana-Champaign (UIUC), Akhila Ashokan
● Predicted depression severity based on sleep motor activity using Random Forest Regression and Support Vector Machine.
● Created algorithm to preprocess and smoothen time series data using a moving average.
● Conducted extensive literature review of research space and wrote comprehensive formal report.
PROJECTS
N-layer Neural Network May 2024
● Developed a scalable neural network in Java for image recognition and classification.
● Implemented backpropagation and gradient descent error minimization algorithms from scratch.
● Designed command-line functionalities to perform hyperparameter tuning for network performance optimization.
Pascal to MIPS Assembly Language Compiler January 2024
● Developed a Pascal to MIPS compiler in Java from scratch, implementing all phases from lexical analysis to code generation.
● Tested the compiler's components (scanner, parser, semantic analyzer, and code generator) with multiple Pascal text files.
ReefAtlas April 2022
● Conceptualized and coded a novel machine learning model to predict and map coral reef bleaching based on thermal metrics.
● Tested XGBoost and Multi-layer Perceptron architectures and implemented k-fold cross validation to analyze models.
SKILLS
Languages: Java, Python, MATLAB
Tools: Excel, Visual Studio Code, Canva, Figma
Libraries: NumPy, pandas, matplotlib, scikit-learn
LEADERSHIP EXPERIENCE
Treasurer September 2022 - June 2023
Harker Programming Club
● Allocated funds, recruited 8 sponsors and speakers, and proctored for Harker Programming Invitational & Girls Programming
League (150+ attendees each).
Director of Operations September 2021 - March 2022
PixelHacks VI Hackathon
● Organized in-person and online Hackathons for 2 events for female and non-binary students (150+ students).
● Coordinated with 10 mentors, judges, sponsors, & panelists to attend and contribute to event.
