CV

MS in Neuroscience

• GPA - 4.0

BS in Statistics & Computer Science

• Minor in Psychology
• GPA - 3.87

Real-time Reconstruction of Human Visual Perception from fMRI

• arXiv:2607.22753
• Real-time decoding and reconstruction of visual experience from fMRI, extending the MindEye line of work

ArtifactGen

• arXiv:2509.08188 - Benchmarking WGAN-GP vs Diffusion for Label-Aware EEG Artifact Synthesis
• Generative modeling of sleep EEG artifacts for augmentation and robustness

StableSleep

• arXiv:2509.02982 - Source-Free Test-Time Adaptation for Sleep Staging with Lightweight Safety Rails
• Implemented SoTA models on the Sleep-EDFx dataset

Focused Ultrasound for Movement Disorders

• Journal of Neurophysiological Monitoring, 3(3), 21-29
• Systematic review of efficacy and safety evidence

Allen Institute Modeling Software Workshop

• Participant - bio-realistic neural network modeling (BMTK, SONATA, VND)

CoNECTOME 2026

• Poster presentation at the UW Computational Neuroscience Center symposium

NeurIPS 2025

• Poster - ArtifactGen, GenAI4Health Workshop
• Live demo - Real-time MindEye

CCN 2024

• Attendee

Machine Learning Researcher

• Investigating neurofeedback modeling and neural decoding paradigms for closed-loop BCI applications
• Designing and maintaining internal research software and end-to-end data pipelines

Contributor

• Contributed architectural improvements and performance optimizations to the Real-time MindEye model, presented at NeurIPS and ICML
• Co-authored the resulting preprint, Real-time Reconstruction of Human Visual Perception from fMRI (arXiv:2607.22753)

Research Associate

• Developed machine learning pipelines for EMG and EEG signal classification and analysis
• Co-authored three papers under faculty mentorship, including a peer-reviewed publication in the Journal of Neurophysiological Monitoring and two arXiv preprints submitted to top-tier ML conferences

Data Scientist

• Built an organization-wide internal tool for interactive EEG and SSEP visualization and annotation
• Conducted collaborative signal analysis to support clinical decision-making workflows

Research Associate

• Curated a large-scale video database of facial stimuli using automated ML-based filtering and web scraping
• Co-developed experimental tooling for human behavioral studies; collected and managed participant data

Research Assistant

• Collaborated with the PI and PhD candidates on neuroscience research examining the role of astrocytes in learning
• Led development of neural activity classification and animal behavior models; assisted with in-vivo experiments

Student Researcher

• Conducted quantitative risk analysis and built financial modeling tools in Python under the supervision of Dr. Runhuan Feng
• Developed smart contract prototypes in Solidity for decentralized insurance applications

Co-Founder

• Designed and deployed ML models and data pipelines powering agentic focus groups segmented by customer demographics
• Delivered measurable impact for early customers, driving up to a 400% increase in business outcomes
• Led user research and closed early sales engagements to validate product-market fit

Web Development Intern

• Developed domain-specific large language models as a core member of the engineering team
• Engineered automated web scraping pipelines across multiple platforms to support data acquisition

Software Engineering Intern

• Contributed to the Bag Manager platform (C++, JavaScript, AWS, Spring Boot, Kafka) serving 400K+ daily passengers
• Managed agile workflows across a 20-person team, grooming 20+ user stories per sprint with 90% on-time delivery

Engineering Intern

• Engineering Intern at a startup studio working to develop MVPs
• Held meetings with clients to gain further design insights into what the application requires
• Used TensorFlow to mask and segment images for body parts and their lengths
• Used Python to scrape images of models/celebrities from Google and preprocess them for testing the product
• Created formulas to translate body dimensions into sizes of clothing in JavaScript
• Developed mobile front-end in Swift and tested on an upcoming location-based tourism mobile app

Comets AI Research (CAIR)

Informatics Fraternity Psi Eta Mu

Natural Language Processing Tutorial

• Created and maintained an open-source NLP tutorial series in Python (PyTorch), covering foundational architectures with visualizations and benchmark datasets

Construct Energy App

• Built an interactive energy modeling web application with dynamic visualizations of residential energy consumption
• Deployed with Heroku, dataset from UCI, built with CSS and JS, modeled using Python