Yennie Jun
Research Engineer at Google DeepMind
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolYennie Jun is a research engineer at Google DeepMind with a decade of experience applying machine learning to healthcare, public health, humanitarian aid, and responsible AI. She has blended academic rigor (MS Social Data Science, Oxford) with product and research roles at Google Research, OpenAI red-teaming, Truveta, the UN, and Microsoft, focusing on multimodal factuality, reasoning, and harms/biases in generative models. Yennie builds and evaluates models across the stack—from transformers on EHRs and annotation-efficiency methods to multilingual benchmarks and agent systems—while also translating research for broader audiences as a DeepLearning.AI writer and on her blog artfish.ai. Her background in digital humanities and computational history gives her a distinctive interdisciplinary lens for framing social impacts of AI.
10 years of coding experience
9 years of employment as a software developer
Master of Science - MS Social Data Science, Master of Science - MS Social Data Science at Oxford Internet Institute, University of OxfordBachelor’s Degree Computer Science History, Bachelor’s Degree Computer Science History at Tufts UniversityThe University of Hong Kong (HKU)High School, High School at Dutchtown High School
Korean, English, Russian
Github Skills (32)
matplotlib9
qt9
python9
gtk9
data-visualization8
relation8
visualization8
twilio8
data-science8
relation-extraction7
twilio-api7
crf6
api6
morphology6
extraction6
Programming languages (3)
Github contributions (5)
yenniejun/covid-texting-service
Mar 2020 - May 2020
Texting Service providing updated Covid-19 stats and answering Covid-19 questions
Contributions:49 commits, 23 pushes, 1 branch in 1 month
reacttextingjavascriptupdatednodejs
yenniejun/oldpersonalsite
Sep 2015 - May 2020
Contributions:66 pushes, 3 branches in 4 years 9 months
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