experience

	PhD Research Assistant, UMD CS Advisor: Prof. Matthias Zwicker 2020 June – present I am exploring novel ways of creating and manipulating illustrations and animations, by leveraging both data-driven vision techniques and 3D graphics representations. I am also interested in new rendering methods using deep learning.
	Visiting Researcher, Arch Inc. Japan Affiliate contact: Jun Kato 2023 January – present Thanks to colleagues at Arch Inc. for setting me up as a visiting researcher, to help foster collaboration with anime industry professionals in Japan. Please direct Arch-related inquiries to shuhong[a]archinc.jp.
	Vision Research Intern, ByteDance/TikTok Mentors: Yiheng Zhu, Heng Wang, Yichun Shi, Xiao Yang 2022 May – 2022 November Intelligent Creation & Computer Vision - Generation Team, worked on generative modeling of 3D VR character assets; specifically, stylized single-view 3D reconstruction from illustrated character portraits.
	Summer Intern, MIT Lincoln Laboratory Advisor: Dr. Michael Chan 2018 June – 2018 August I looked at automatically discovering recurrent neural network architectures for video action recognition. I was also a finalist at the lab’s Intern Innovative Idea Challenge.
	Undergrad Research Assistant, Rutgers ECE Advisor: Prof. Ivan Marsic 2015 October – 2019 May I worked with grad students on healthcare informatics for trauma resuscitations; topics included process mining, workflow analysis, data visualization, NLP, and CV.

education

Special thanks to Prof. Matthew Stone, Prof. Iian Smythe, and Prof. Qiang Xu for their invaluable guidance and mentorship.

	University of Maryland - College Park, MD PhD in CS Class of 2024 (expected) Advisor: Prof. Matthias Zwicker
	Rutgers University, NJ BS in CS and Math, minor in Econ Class of 2019, Honors College Inaugural Class Summa cum laude

awards

• 2021 Honorable Mention, NSF GRFP (graduate)
• 2019 Honorable Mention, NSF GRFP (undergrad)
• 2019 Dean’s Fellowship, UMD Graduate School of CS
• 2018 Alan Marc Schreiber Memorial Scholarship, Rutgers SAS Excellence Award in Math

• 2015 Rutgers Trustee Scholarship, Rutgers University

• 2019 Startup Allocation Proposal, XSEDE PSC Bridges
• 2017 Grant for Conference Funding, Aresty Research Center

• 2017 Grant for Conference Funding, Rutgers ECE

• 2018 Top 6 Shark-Tank Finalist, MIT Intern Innovative Idea Challenge
• 2017 Best Healthcare Hack, HackRU F2017

• 2017 Best Use of Machine Learning (4th), HackRU F2017

• 2021: nominated for Sigma Xi Associate Membership
• 2018: member of Phi Beta Kappa Honors Society
• 2017: member of IEEE