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Graduating PhD Student Spotlight: Mingzhang Yin

YinMingzhang Yin

PhD in Statistics, UT Austin (Expected, 2020)
BS in Mathematics and Applied Mathematics, Fudan University
Dissertation: "Variational Methods with Dependence Structure"
Dissertation Advisor: Dr. Mingyuan Zhou
Research Interests: Bayesian methods, Causal inference and Deep Learning
Website: https://mingzhang-yin.github.io

What does your research focus on? How is it applied?
My research areas are Bayesian statistics and machine learning. During Ph.D. study, I focused on understanding the statistical dependence structures at different levels of data. 

My research helps understand theunobserved quantities from observed data, in their point estimations, uncertainties and association relationships.

 

photo with Dr. Zhou

What research-related accomplishment are you most proud of and why? (paper, award, presentation, etc.)
I am proud that my work “Semi-Implicit Variational Inference” was accepted in the International Conference on Machine Learning (ICML 2018) as Long Talk and “Meta-Learning without Memorization” was accepted in the International Conference on Learning Representations (ICLR 2020) as Spotlight Paper.

The two works are presented as invited talk at NeurIPS workshop on Bayesian Deep Learning in 2018 and 2019 respectively.

Minghang with Google collaborators

What were you up to before you decided to enter a PhD program? What brought you to SDS at UT Austin?
Before coming to UT, I studied math at Fudan University in Shanghai as an undergraduate.

The strong faculty members, the innovative environment in SDS, and of course the weird Austin city – among other things!

What have you liked the most about your time with the PhD program? What are your post-graduation plans? Congratulations, by the way! 
My favorite thing is that the research in SDS and UT-Austin are really novel. The researchers adapt to the field progress fast and take the lead in new discoveries.

After graduation, I plan to join the Data Science Institute at Columbia University as a Postdoc Fellow. I will study the causal inference from observational data and use it to help with cancer research.

 photo at.presentationJPG

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Read more about Mingzhang Yin at SDS:
SDS Graduate Students
https://stat.utexas.edu/people/graduate-students

SDS Graduate Students Put Skills to Work through Summer Internships
https://stat.utexas.edu/spotlight/entry/sds-graduate-students-put-skills-to-work-through-summer-internships

SDS Student Spotlight – Mingzhang (Michael) Yin
https://stat.utexas.edu/spotlight/entry/sds-student-spotlight-1-1

SDS Annual Report 2018-2019
https://stat.utexas.edu/images/SSC/AnnualReport2019_FINAL2.pdf

SDS Annual Report 2017-2018
https://stat.utexas.edu/images/SSC/AnnualReport2017-18_FINAL.pdf

SDS Seeking to Hire One or More Fixed-Contract Lec...
SDS FOCUS - Summer & Fall 2020 Registration

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