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Education
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’21 - ’25
B.A., Philosophy
University of Washington
- 4.0 GPA
- Coursework includes - logic, ethical theory, phenomenology, philosophy of race, philosophy of feminism
- Early Entrance Program, Robinson Center
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’21 - ’25
B.S., Computer Science
University of Washington
- 3.9 GPA
- Coursework includes - DS&A, discrete math, systems
Research
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Jan ’23 - Present
Undergrad Researcher
Krishna Group, Allen School of Computer Science & Engineering
- Working on the Computer Vision Cognition project.
- Mentored by Sebastin Santy, PIs Ranjay Krishna and Amy Zhang
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Feb ’22 - Jan ’23
Undergrad Researcher
Social Futures Lab, Allen School of Computer Science & Engineering
- Worked on the Confidence Contours project.
- Mentored by Jim Chen, PI Amy Zhang
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Jun ’22 - Sep ’22
Research Intern
Deepgram
- Designed and ran experiments for curriculum learning on large speech transcription models.
- Mentored by Andrew Seagraves (now VP of Research at Deepgram)
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Dec ’21 - Mar ’23
Research Lead
Interactive Intelligence, University of Washington
- Worked on the Emergent Language project.
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Mar ’21 - May ’22
Undergrad Researcher
Najafian Lab, UW Medicine
- Worked on the Foot Process Width Segmentation project.
- Worked with David Smerkous, P.I. Bezhad Najafian
TA'ing
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Nov ’22 - Present
Academic Support Teaching Assistant
The Coding School
- Hosted several office hours sessions a week to help students with theoretical and coding material in an introductory data science and machine learning course.
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Sep ’22 - Present
Teaching Assistant, Literary Theory
Robinson Center, University of Washington
- Contributed to curriculum material, hosted office hours, gave feedback on drafts.
- Taught material iin literary theory and philosophy, including dialectical and discursive materialism, modernist and Englightenment thought, postcolonialism, existentialism, psychoanalysis
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Mar ’22 - Jun ’22
Teaching Assistant, CSE 163
Robinson Center, University of Washington
- Taught a review section every week, hosted office hours, graded assignments.
Publishing & Writing
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’22 - ’23
Book Author, Deep Learning
Apress, Springer Nature
- Published Modern Deep Learning Design and Application Development (2021)
- Published Modern Deep Learning for Tabular Data (2022)
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’22
Technical Reviewer
Packt, Apress
- Building Data Science Solutions with Anaconda (2022) by Dan Meador, Packt
- Deep Learning Model Optimization with Neural Network Intelligence (2022) by Ivan Gridin, Apress
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’21 - ’22
Data Science Writer
Medium
- Awarded the Gold and Silver Medal from KDnuggets, a leading data science site with over 700k+ visitors monthly, for writing two of the most top-viewed and top-shared articles on the platform
- Wrote over 350 data science and AI articles here for various top data science publications; over ten million views total
- Awarded Top Writer in AI and Technology by Medium.
- Contracted to write data science articles for machine learning companies and organizations like Neptune.AI
- Served as Editor of Data Science and AI Content of The Data-Driven Investor
Miscellaneous Work
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Jan ’23 - Mar ’23
Fellowship Member
Reboot
- Recipient of & participant in the Reboot Fellowship Program.
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Apr ’20 - Jun ’20
Volunteer Data Scientist
Coronawhy
- Performed textual analysis and visualization on communications for greater internal efficiency
- Developed question-answering model for epidemic scientific literature
Other Interests
- Languages: English (native), Mandarin Chinese (conversational), Russian (working), French (learning)
- See my reading list for my recommended literature!
Misc. - Competitions
- Kaggle Master rank; held top ’2% position within the Kaggle community of over 160k data scientists (while active)
- Top 1% (16 / 4245), Jane Street Group Market Prediction Competition
- Top 4%, HLIS Mechanisms of Action Competition
- Top 5%, RACR Catheter and Line Position Challenge
- Global Nominee, NASA Space Apps Hackathon