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Welcoming This Year's New Faculty - School of Engineering and Computer Science

The School of Engineering and Computer Science welcomed five new faculty members this year. These faculty members bring to Pacific years of teaching, scholarship and industry experience to share with our undergraduate and graduate students.

JuEun Lee, Assistant Professor of Mechanical Engineering 
Dr. Lee joins Pacific from the University of Bern (Switzerland) where she served as a postdoctoral fellow at the Institute for Surgical Technology and Biomechanics. She completed her Ph.D. at Carnegie Mellon University in the Department of Mechanical Engineering where she focused on orthopaedic biomechanics, bioengineering, mechanics, dynamics, advanced manufacturing, and heat transfer. She has also been published in the Journal of Biomechanics and Medical Engineering & Physics.




David Mueller, Assistant Professor of Electrical and Computer Engineering 
As a recent graduate of University of Missouri - Columbia, Dr. Mueller completed his dissertation on the optimization of mid-infrared quantum cascade laser design on non-traditional surface indices using evolutionary programming. He has a strong instruction and research background and has been included in the Journal of Vacuum Science & Technology.





Shadi Othman, Associate Professor of Bioengineering 
Dr. Othman is a gifted academician that joins Pacific from University of Nebraska, where he served as an associate professor. Dr. Othman brings with him experience in biomechanics, imaging, tissue engineering, and regenerative medicine. He is also a graduate of University of Illinois at Chicago's bioengineering program and his research has been included in such publications as International Journal of Nanotechnology and Journal of Neuroscience Methods.




Vivek Pallipuram, Assistant Professor of Electrical and Computer Engineering
Dr. Pallipuram completed his Ph.D. at Clemson University, where he specialized in computer architecture. He was a post-doctoral researcher at the University of Delaware where he developed statistical prediction models for non-dedicated clusters and investigated resource allocation methods and scheduling policies. His research has also been published in The Journal of Supercomputing.




Michael Williamson, Clinical Professor of Analytics
A graduate of UC Berkeley, Dr. Williamson joins the School of Engineering and Computer Science's new Analytics Program after serving as Senior Quantitative Analyst for Google, where he was responsible for account security and spam prevention. He worked for several years in the semiconductor, biotech, and web industries in senior data science roles. He holds multiple patents and has created business critical predictive time series and supervised learning engines across these industries.