I'm a first-year PhD student at NYU TMI, advised by Prof. Oded Nov. I received my bachelor's degrees in Data Science from Duke Kunshan University and Duke University, and my master's degree in Information Systems from Cornell Tech, where I was fortunate enough to be working with Prof. Nicki Dell.
My interdisciplinary academic background inspired my research interests, which lies in the intersection of human-AI interaction, data science, healthcare & wellbeing. I've previously assisted research at Weill Cornell Medicine (2023), DKU HCI Lab (2021-2022), and interned for product and design work at Ketogenic.com (2023-2024), Tencent (2021), and iFLYTEK (2020).​​
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Fun fact: my name "Haitong" is made up of two different Chinese characters - "hai" means ocean, and "tong" stands for the color of rising sun. Outside of research, I enjoy ballet, reading, and walking around the city (or talking, I'm always talking).
Haitong Lin
(She/Her)
PhD Student at New York University
Education
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New York University 2024 - Present
PhD, Human-Centered Technology, Innovation & Design
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Cornell Tech 2022 - 2024​​
MS, Information Systems (Connective Media)
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Duke University 2018 - 2022
Dual-BS, Interdisciplinary Studies (Data Science)
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Duke Kunshan University 2018 - 2022
Dual-BS, Data Science
Interests
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Human-AI Interaction
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Healthcare & Wellbeing
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Data Science
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Natural Language Processing
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Social Computing
Projects
Academic
Doctoral Seminar Project· 2024
This essay examines the concept of affect and its role in affective computing, tracing its evolution, applications, and societal implications. Cover image generated by DALL·E.
Research Specialization Project · 2023
This project is part of Weill Cornell Medicine's IMPACT initiative, which aims to enhance access to cancer clinical trials for women in underprivileged groups. Recognizing the challenges faced due to technological and educational barriers in healthcare, our approach involved creating a platform that is linguistically and culturally tailored.
Undergraduate Thesis · 2022
This study explores efficient and semi-automated methods for measuring and predicting stress and anxiety using biomarker data from wearable devices and self-evaluation scales. Cover imaged generated by DALL·E.
Full Stack Web Development · 2023
Contact
haitong [dot] lin [at] nyu [dot] edu
2 MetroTech Center Fl 10, Brooklyn, NY 11201