Experience

Caltech

• United States
• Research Services
• 700 & Above Employee

• Research Intern, Caltech Vision Lab (SURF Fellow)

  • Nov 2021 - Present

  Evaluated & improved hybrid computer vision & local graph clustering algorithm for zebra re-identification with camera trap data. Built ML-based species ID & annotation filtering pipeline for 9+ million images. Awarded Caltech SURF funding, Doris S. Perpall Speaking Competition Semi-Finalist. Evaluated & improved hybrid computer vision & local graph clustering algorithm for zebra re-identification with camera trap data. Built ML-based species ID & annotation filtering pipeline for 9+ million images. Awarded Caltech SURF funding, Doris S. Perpall Speaking Competition Semi-Finalist.



Institut du Cerveau – Paris Brain Institute

• France
• Biotechnology Research
• 300 - 400 Employee

• BCI Research Intern, ICM Frontlab

  • Sep 2019 - Sep 2021

  Designed LSTM machine learning architecture to detect mental stress from ongoing EEG data of autistic children & adolescents with >90% accuracy, outperforming the field's major machine learning benchmarks. Presented at International Conference on Brain Informatics 2020 (awarded Springer student award for excellent paper quality) & Cognitive Neuroscience Society 2021. First author of paper in Brain Informatics. Designed LSTM machine learning architecture to detect mental stress from ongoing EEG data of autistic children & adolescents with >90% accuracy, outperforming the field's major machine learning benchmarks. Presented at International Conference on Brain Informatics 2020 (awarded Springer student award for excellent paper quality) & Cognitive Neuroscience Society 2021. First author of paper in Brain Informatics.



UCSF Health

• United States
• Hospitals and Health Care
• 700 & Above Employee

• Research Intern, UCSF Cardiac Biomechanics Lab

  • May 2020 - Aug 2021

  Developed computer vision algorithms to streamline aortic wall stress evaluation and predict aneurysm patient outcomes at the San Francisco VA Medical Center. Developed computer vision algorithms to streamline aortic wall stress evaluation and predict aneurysm patient outcomes at the San Francisco VA Medical Center.



Project Invent

• United States
• Primary and Secondary Education
• 1 - 100 Employee

• Lead, Team Ferrofoot

  • Sep 2018 - Jun 2021

  Led 10-student team designing novel, active, and comfortable ankle-foot orthoses for patients w/ neurodegenerative diseases. Raised over $5000 as a Project Invent affiliate team, including $1000 awarded by UIowa's Jacobson Institute. Featured in T-Mobile Changemaker Challenge's 100 Ways to Make Change. Won Cooley LLP's Innovation Award, earning pro bono patent support. Led 10-student team designing novel, active, and comfortable ankle-foot orthoses for patients w/ neurodegenerative diseases. Raised over $5000 as a Project Invent affiliate team, including $1000 awarded by UIowa's Jacobson Institute. Featured in T-Mobile Changemaker Challenge's 100 Ways to Make Change. Won Cooley LLP's Innovation Award, earning pro bono patent support.