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Work Experience
Computational Bioengineer Research Associate
UCSD Health•  October 2019 - August 2020
• Conducted parameter sweep using C++ to evaluate qualitative quality of neural networks. • Black-box tested neural networks using Python which resulted in finding bugs that skewed results for 30% of lab projects. • Improved team culture and lab members’ technical competency by organizing weekly journal club meetings covering the latest research discoveries relevant to lab investigations. • Presented results at over 7 conferences, talks, and meetings to inform the larger scientific community.
Education
University of California, San Diego (UCSD)
Cognitive Science, BS•  September 2016 - August 2019
I majored in Cognitive Science with a specialization in Machine Learning and Neural Computation. I also minored in Computer Science
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