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yiqunchen authored Jan 23, 2025
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social: true # includes social icons at the bottom of the page
---

I am Yiqun Chen (pronunciation [here](./assets/audio/yiqunchen_name_recording.mp3)), currently an Assistant Professor in Biostatistics and Computer Science (affiliated) at Johns Hopkins University. Previously, I was a [Data Science Postdoctoral Fellow](https://datascience.stanford.edu/programs/data-science-fellows) at Stanford University, working with Professor [James Zou](https://www.james-zou.com/) on applying generative AI techniques to biomedical data. I completed my PhD in Biostatistics under the guidance of Professor [Daniela Witten](https://www.danielawitten.com/) at the University of Washington, where I developed methods to test data-driven hypotheses. My application interest spans different fields of data science: from [dermatology](https://jamanetwork.com/journals/jamadermatology/article-abstract/2820188), [social networks and epidemiology](https://journals.lww.com/epidem/abstract/2021/07000/social_networks_and_hiv_care_outcomes_in_rural.12.aspx), as well as [human-computer interaction](https://dl.acm.org/doi/full/10.1145/3544548.3581122) and [microbiome science](https://elifesciences.org/reviewed-preprints/89862).
I am Yiqun Chen (pronunciation [here](./assets/audio/yiqunchen_name_recording.mp3)), an Assistant Professor in Biostatistics and Computer Science (affiliated) at Johns Hopkins University. Previously, I was a [Data Science Postdoctoral Fellow](https://datascience.stanford.edu/programs/data-science-fellows) at Stanford University, working with Professor [James Zou](https://www.james-zou.com/) on applying generative AI techniques to biomedical data. I completed my PhD in Biostatistics under the guidance of Professor [Daniela Witten](https://www.danielawitten.com/) at the University of Washington, where I developed methods to test data-driven hypotheses. My application interest spans different fields of data science: from [dermatology](https://jamanetwork.com/journals/jamadermatology/article-abstract/2820188), [social networks and epidemiology](https://journals.lww.com/epidem/abstract/2021/07000/social_networks_and_hiv_care_outcomes_in_rural.12.aspx), as well as [human-computer interaction](https://dl.acm.org/doi/full/10.1145/3544548.3581122) and [microbiome science](https://elifesciences.org/reviewed-preprints/89862).

Before graduate school, I earned undergraduate degrees in Statistics, Computer Science, and Chemical Biology with high distinction from the University of California, Berkeley. I've also gained industry experience in data science with Amazon Search and Waymo LLC.
Before graduate school, I earned undergraduate degrees in Statistics, Computer Science, and Chemical Biology with high distinction from the University of California, Berkeley. I've worked at Amazon Search, Waymo LLC, and Meta in the past.

I am always excited to explore collaboration opportunities, participate in reviews, and deliver talks. Please feel free to reach out to me via email at **yiqun.t.chen[at]gmail[dot]com** or schedule a [meeting](https://calendly.com/yiqunchen) with me.

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- Our work on testing for a difference in means for a single feature after clustering has been accepted to *Biostatistics* ([paper](https://academic.oup.com/biostatistics/article-abstract/26/1/kxae046/7935381); [software](https://yiqunchen.github.io/CADET/))!


### 🎉 celebrate every (small) win
### 🎉
I have been fortunate to have received several awards and honors, including the Cornell Young Researchers Workshop in 2023, the Rising Stars in Data Science in 2022, the Best Paper Honorable Mention at CHI 2023, the Thomas R. Fleming Excellence in Biostatistics Award, the Student Research Paper Award at NESS 2022, the Best Award at WNAR 2021, the Young Investigator Award at CROI 2020, and the Outstanding Teaching Assistant Award from the School of Public Health at the University of Washington.


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