Inna Wanyin Lin

ๆž—็ฌ้Ÿณ

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New York, Fall 2020 ๐Ÿ‚

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๐Ÿ‘‹ Hello!

I am a PhD student in Computer Science at the University of Washington advised by Prof. Tim Althoff. I graduated from Columbia University with a B.A. in Mathematics and Cornell University with a M.Eng. in Computer Science. After college, I worked as a quantitative analyst in the financial industry.

๐ŸŒ‹ Research Interests

I am broadly interested in Natural Language Processing, AI/ML for Healthcare, and Computational Social Science. My past projects focused on using machine learning and causal inference in the context of social media and health. I am working towards building a healthy and just web and society.

๐Ÿ“œ Publications

(=: equal contribution)

Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach
Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, and Tim Althoff
The Web Conference (WWW), 2021
๐Ÿ† Best Paper Award

Utilizing Instagram Data to Identify Usage Patterns Associated with Schizophrenia Spectrum Disorders
Katrin Hรคnsel, Inna Wanyin Lin, Michael Sobolev, Whitney Muscat, Sabrina Yum-Chan, Munmun De Choudhury, John M. Kane, and Michael L. Birnbaum
Frontiers in Psychiatry, 2021

Building Interfaces for Self-assessment and Feedback in the EMR
Andrew L. Yin, Inna Wanyin Lin, and Pargol Gheissari
ACM Intelligent User Interfaces (IUI), First Workshop on Healthy Interfaces (HEALTHI), 2021

Role of Technology in Self-Assessment and Feedback Among Hospitalist Physicians: Semi-structured Interviews and Thematic Analysis
Andrew L. Yin=, Pargol Gheissari=, Inna W. Lin=, Michael Sobolev, John P Pollak, Curtis Cole, and Deborah Estrin
Journal of Medical Internet Research (JMIR), Nov 2020

๐Ÿ’› Personal

In my free time, I enjoy looking at magnificent architecture and interior design, learning new languages and instruments, and ((very) casually) playing any sports that involve human interactions.