Machine Learning Researcher. Passionate about leveraging machine learning in life sciences and healthcare.
San Francisco, California
Berkeley Artificial Intelligence Research
PhD Student in Machine Learning
Berkeley, California, United States
PEERS Org (https://peers.blog/)
Training Advisor
Machine Learning Engineer @ Google Health
January 2019 to August 2019
San Francisco Bay Area
Machine Learning Engineer @ Google Brain Health Research
August 2018 to January 2019
San Francisco Bay Area
The D. E. Shaw Group
Quantitative Analyst Intern
June 2017 to August 2017
Greater New York City Area
Software Engineer Intern - Voice Search
June 2015 to August 2015
San Francisco Bay Area
UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Doctor of Philosophy - PhD, Computer Science, 4.0
2019 to 2024
California Institute of Technology
Bachelor of Science (B.S.), Mathematics and Computer Science, 4.3 / 4.3
2014 to 2018
University of Cambridge
Study Abroad Program, Mathematics
2016 to 2016
Advised by Jennifer Listgarten and Moritz Hardt.Current research focus:- Unsupervised and semi-supervised learning for protein design;- Improving nanopore sequencing with deep learning;- Machine learning methods to effectively combine datasets from different labs. Advised by Jennifer Listgarten and Moritz Hardt.Current research focus:- Unsupervised and semi-supervised learning for protein design;- Improving nanopore sequencing with deep learning;- Machine learning methods to effectively combine datasets from different labs.
What company does Chloe Hsu work for?
Chloe Hsu works for Berkeley Artificial Intelligence Research
What is Chloe Hsu's role at Berkeley Artificial Intelligence Research?
Chloe Hsu is PhD Student in Machine Learning
What industry does Chloe Hsu work in?
Chloe Hsu works in the Computer Software industry.
Who are Chloe Hsu's colleagues?
Chloe Hsu's colleagues are Angélica Coronel Menéndez, Héctor Téllez, Miguel Eguino, Julio Velázquez, Hector Espinoza, Nuno Neves, Ulises Araiza, Miguel Angel Lara Melendez, Ana Dumitraș, and Jana Pozsgay
📖 Summary
PhD Student in Machine Learning @ Berkeley Artificial Intelligence Research Advised by Jennifer Listgarten and Moritz Hardt.Current research focus:- Unsupervised and semi-supervised learning for protein design;- Improving nanopore sequencing with deep learning;- Machine learning methods to effectively combine datasets from different labs. Berkeley, California, United StatesTraining Advisor @ PEERS Org (https://peers.blog/) PEERS is a nonprofit centered around peer-to-Peer emotional education and relational support for Chinese international students and Chinese Americans. As a founding member and instructor, I develop training curriculum and lead training activities together with other instructors for a 6-week weekend online program. Machine Learning Engineer @ Google Health @ Google As an early engineer on a new product-oriented ML team, I scoped out relevant machine learning applications for our healthcare collaborators, revamped and maintained key components of our internal ML infrastructure, facilitated communication between product and research teams, and on-boarded 5 new team members to help grow the team from 2 to 7. From January 2019 to August 2019 (8 months) San Francisco Bay AreaMachine Learning Engineer @ Google Brain Health Research @ Google Electronic health records (EHR) are challenging for deep learning - temporally sparse and with mixed free text, categorical data, and numerical measurements. How do we represent EHR data more efficiently and effectively to increase predictive power? To this goal, my work included:- Deep learning architecture for sequential multimodal data;- New approach for clustering clinical measurements, with paper accepted to AISTATS 2020;- Flexible time-to-event prediction framework to minimize model retraining. From August 2018 to January 2019 (6 months) San Francisco Bay AreaQuantitative Analyst Intern @ The D. E. Shaw Group Statistical modeling and time series analysis for risk management. From June 2017 to August 2017 (3 months) Greater New York City AreaSoftware Engineer Intern - Voice Search @ Google Statistical models for customized voice search suggestions. Developed end-to-end pipeline from modeling to serving. From June 2015 to August 2015 (3 months) San Francisco Bay Area
Introversion (I), Intuition (N), Thinking (T), Judging (J)
0 year(s), 5 month(s)
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