PhD Graduates

Dr. Yiping Kang received his PhD in Computer Science from The University of Michigan.


Matt Skach works as a Performance and Capacity Engineer at Facebook. His research interests include novel design and technologies for large-scale computer systems and data centers. Skach received his PhD in Computer Science and Engineering at the University of Michigan Ann Arbor, a MS in Electrical Engineering from the University of Michigan, and a BS in electrical engineering from Oregon State University.


I am a recent Ph.D. graduate from the University of Michigan, Ann Arbor. I worked at the clarity lab where I was co-advised by Prof. Jason Mars and Prof. Lingjia Tang. Broadly, I am keenly interested in the field of computer architecture. At clarity lab, I had the opportunity to work on multiple challenging projects that spread across the computing stack, ranging from core micro-architecture to compilers to system-level projects. More specifically, I am interested in designing software and hardware solutions for improving the execution of deep learning applications. Currently, I am working at Amazon Web Services as an Applied deep learning platform scientist, where I am essentially continuing my research by designing compilers for deep learning.


Dr. Chang-Hong Hsu received his Ph.D. in Computer Science and Engineering at the University of Michigan. Chang-Hong’s research focuses on developing cross-layer optimizations and solutions for scalable and efficient cloud and AI infrastructure. His research architects intelligent runtime systems that coordinate emerging hardware technologies to make large-scale datacenters not only low-latency but also highly power- and energy-efficient. Previously, Chang-Hong received his M.S. and B.S. in Electrical Engineering from National Taiwan University.

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Dr. Parker Hill received his PhD in Computer Science from The University of Michigan, where his research spanned the computing stack to improve performance of emerging AI applications. This research focused on exploiting error tolerance in these applications and addressed key challenges to applying practical approximate computing. Currently, he engineers and researches state-of-the-art AI at Clinc. Beyond building AI systems, Parker is a programming language and compiler enthusiast, applying these disciplines at every opportunity. Parker earned his MS in Computer Science from The University of Michigan and his BS in Computer Engineering from The Unversity of Nevada.


Dr. Yunqi Zhang, CIO of Clinc, received his Ph.D. in Computer Science and Engineering at the University of Michigan. Yunqi’s research in architecting highly efficient large-scale data center systems with low response latency is well-recognized in both academia and industry. In his collaborative research with other industry leaders, he has designed, developed and deployed large-scale software systems in production at Facebook and Microsoft. Previously, Yunqi received his B.S. in Software Engineering from Beijing Institution of Technology, and his M.S. in Computer Science and Engineering from the University of Michigan.

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Johann Hauswald is a cofounder and the Chief Architect at Clinc. Dr. Hauswald has extensive experience in developing scalable infrastructures for AI and his work has been recognized as seminal in the field of developing intelligent personal assistants. He holds a B.S.E in Electrical Engineering, an M.S. in Computer Science and Engineering, and a Ph.D. in Computer Science and Engineering from the University of Michigan.

Pursuing graduate studies showed me what the next technological advancements would be before they were even available. After defending my thesis, I am able to have the next level of impact by directly applying my research experience at Clinc and being part of the implementation of these cutting-edge technologies.

Dr. Laurenzano is a co-founder of Clinc, an Ann Arbor company focused on building bleeding edge conversational AI. He serves as Clinc’s CTO, leading the growing engineering team and Clinc’s technology roadmap. In that role, and in collaboration with colleagues at the University of Michigan, he continues to publish research in the worlds top computer systems and machine learning venues.

I did an Iron Man and an Ultra Marathon, therefore I’m Ultra Iron Man-athon