Specialization: Machine Learning

• Carlos Garcia Jurado Suarez

  

  Carlos is a Principal Software Engineer with the UW Scientific Software Engineering Center (SSEC). As part of SSEC, he leads Software Engineering and Machine Learning (ML) projects in collaboration with researchers to develop robust and scalable scientific software. Carlos has over 25 years of experience building software. Before joining SSEC, he was an Engineering Director…

• Xiaowei Zhang

  

  Xiaowei Zhang is a postdoctoral scholar in the Department of Materials Science and Engineering at UW Seattle. His research topics span light-matter interactions, topological physics, and machine learning. He is working on combining first-principles density-functional theory calculations and machine-learning molecular dynamics to explore novel materials on a large scale.

• Arkajyoti Saha

  

  I am a postdoctoral fellow in the Department of Statistics at the University of Washington hosted by Daniela Witten and Jacob Bien. I received my Ph.D. from the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health, advised by Nilanjan Chatterjee and Abhirup Datta. I completed my M.Stat (Specialization: Mathematical Statistics and Probability) & B.Stat from Indian Statistical Institute, Kolkata prior to that. My primary research…

• Steve Mussmann

  

  Steve is an IFDS Postdoctoral Fellow in the Paul G. Allen School of Computer Science & Engineering at the University of Washington working with Kevin Jamieson and Ludwig Schmidt on machine learning methods that reduce the required amount of data. He received a B.S. in 2015 from Purdue University in math, statistics, and computer science and…

• Gang Li

  

  Gang is a UW Data Science Postdoctoral Fellow at the eScience Institute working with Prof. William Stafford Noble. His postdoctoral work focuses on developing machine learning methods for interpreting high-throughput genomic data sets with respect to 3D genome architecture, with a particular emphasis on embryonic development in mouse.

• Taylor Kessler Faulkner

  

  Taylor Kessler Faulkner works with professor Siddhartha Srinivasa in the Personal Robotics Lab. Her research interests include human-robot interaction and AI, and her recent work is on developing interactive algorithms for robots learning from non-expert human teachers. She is currently working on the Robot-Assisted Feeding project in the Personal Robotics Lab. Taylor received her Ph.D. in…

• Anupama Jha

  

  I started my career as a software engineer; my undergrad degree is in computer science. After working for two years in the industry developing navigation systems for cars, I got a master’s degree at TU Munich. There I discovered my two passions: machine learning and computational biology. I went on to obtain a Ph.D. degree…

• Ali Chase

  

  I use optical oceanography to understand the distributions of phytoplankton communities on large spatial scales. Phytoplankton are single-celled autotrophs supporting the marine food web and playing a key role in global cycles of nutrients and carbon, and their populations in the ocean are complex in time and space. I use measurements of the light field…

• Sebastian Castillo-Hair

  

  Sebastian is a postdoctoral scholar at the ECE Department, working in Georg Seelig’s lab. Sebastian’s research focuses on synthetic biology, specifically on using high-throughput assays and deep learning methods to understand how untranslated mRNA sequences regulate translation and stability in human cells, and to engineer improved sequences for therapeutics applications. Before, Sebastian earned his Ph.D.…

• Dara Farrell

  

  Dara is currently a postdoc research scholar in the Applied Ecology lab in the School of Aquatic and Fishery Sciences. Dara’s postdoc project involves the application of a computer vision model to support the management of fisheries through the use of underwater video. Dara Farrell obtained her Ph.D. in  Mechanical Engineering from the University of Washington in…