Postdoc Profiles

Learn more about the postdocs who are advancing their careers and contributing to a vibrant research community at UW CSE:

 

Armin Alaghi

Armin AlaghiArmin Alaghi is a postdoctoral research associate at the University of Washington, where he leads research in hardware and computer architecture. He is a member of the SAMPA research group led by Luis Ceze, Dan Grossman and Mark Oskin. Armin received his Ph.D. (2015) in Computer Science and Engineering from the University of Michigan, and his M.Sc. in Computer Engineering (2009) and B.Sc. in Electrical Engineering (2006) from University of Tehran.

Armin's current research focuses on methods of accelerating computer vision algorithms for real-time applications. His award-winning Ph.D. research, advised by John Hayes, focused on stochastic computing. Amin's M.Sc. research, advised by Zain Navabi, studied methods of designing and testing robust on-chip networks.

 

Michael Correll

Michael CorrellMichael Correll is a postdoctoral research associate at the University of Washington, where he is a member of the Interactive Data Lab working with Jeff Heer. His research interest is information visualization, with special focus on visual rhetoric, visual statistics, and the digital humanities. He has collaborated with virologists, literature scholars, and pollsters on tools and techniques for presenting data in the right way, to the right audience.

He received his Ph.D. in Computer Sciences from the University of Wisconsin-Madison, working with Michael Gleicher. He received his bachelor’s degree from St. Mary’s College of Maryland.

 

Grigory FedyukovichGrigory Fedyukovich

Grigory Fedyukovich is a postdoctoral researcher in Computer Science & Engineering at the University of Washington working with Rastislav Bodik in the Programming Languages & Software Engineering (PLSE) Group. He completed his Ph.D. in the Formal Verification Lab at the University of Lugano, Switzerland, under the supervision of Natasha Sharygina.

The main focus of Grigory’s research is Incremental Software Model Checking, Regression (Upgrade) Verification, and Inductive Synthesis for detecting Simulation Relations.

 

Michael Fire

Michael FireMichael Fire is a Washington Research Foundation Innovation Postdoctoral Fellow in Data Science and a University of Washington Moore/Sloan Data Science Postdoctoral Fellow, under the mentorship of professors Carlos Guestrin and Joshua Blumenstock. He holds an M.Sc. (magna cum laude) in Mathematics from the Bar-Ilan University and a Ph.D. (summa cum laude) in Information System Engineering from the Ben-Gurion University, where he won the Kreitman Prize for excellence in Ph.D. studies.

In recent years, Michael has published dozens of papers for prestigious conferences and journals in the fields of social networks analysis and data mining. He also has extensive experience as a data scientist working for several companies and organizations.

 

Pedro FonsecaPedro Fonseca

Pedro Fonseca is a postdoctoral researcher in the Department of Computer Science and Engineering at the University of Washington and a member of the Systems Laboratory. His research is focused on improving the reliability and scalability of distributed systems and operating systems.

Pedro received his Ph.D. in 2015 from the University of Saarland and the Max Planck Institute for Software Systems.

 

Djordje Jevdjic

Djordje JevdjicDjordje Jevdjic is a postdoctoral research associate at the University of Washington, where he joined the SAMPA group led by Luis Ceze and Mark Oskin. His current research focuses on DRAM-based active storage systems — self-contained independent units of fast scale-out storage that feature all the computation capabilities needed to serve and communicate the stored data.

Prior to joining the University of Washington, Djordje completed his Ph.D. in Computer Science at EPFL, Switzerland, where he worked with Babak Falsifi on memory systems for servers, near-memory processing, and server systems benchmarking and evaluation. He received his M.Sc. in Computer Science from the University of Belgrade, Serbia.

 

Yanfeng JiYangfeng Ji

Yangfeng Ji is a postdoctoral research associate at the University of Washington, working with Noah Smith. His research interests are natural language processing and machine learning. Specifically, his research work focuses on developing machine learning models for text generation and discourse processing. He is also interested in applying discourse processing for social computing.

He completed his Ph.D. in the School of Interactive Computing at Georgia Institute of Technology in 2016, under the supervision of Jacob Eisenstein.

 

Yannis KonstasYannis Konstas

Yannis Konstas is a postdoctoral researcher in the department of Computer Science & Engineering, working with Luke Zettlemoyer. His research interests focus on the area of Natural Language Generation, from inputs of varying structure, ranging from facts in a knowledge base with little inter-relation, meaning representations, to expressions in a common programming or query language.

Yannis was previously a research associate at the University of Edinburgh working with Frank Keller; he also obtained his Ph.D. from the same university, supervised by Mirella Lapata.

 

Shrirang Mare

Shrirang MareShrirang Mare is a postdoctoral researcher in the Department of Computer Science and Engineering at the University of Washington where he works with Richard Anderson, Yoshi Kohno, and Franziska Roesner. His research is focused on improving the security and usability of digital financial services in developing regions.

Shrirang received his Ph.D. in 2016 from the Dartmouth College, where he worked with David Kotz on usable user authentication methods for personal devices. He earned his Bachelor's from Birla Institute of Technology and Science (BITS) in Pilani, India.

 

Laura Pina

Laura PinaLaura Pina explores designing, building, and evaluating mobile and ubiquitous technologies in the health space. In particular, her work expands the design lens from designing for an individual to designing technologies that address the cooperative nature of families to enable health tracking at the family level. Her experience spans the entire cycle of development, from understanding unmet needs to creating technological solutions.

Laura holds a joint appointment Computer Science & Engineering working with Professor James Fogarty and in Human Centered Design & Engineering working with Professor Julie Kientz. Prior to joining the University of Washington, she completed her Ph.D. in Computer Science & Engineering at the University of California, San Diego.

 

Jorge Poco

Jorge PocoJorge Poco is a postdoctoral researcher in Computer Science & Engineering at the University of Washington, Seattle, where he works with Dr. Jeffrey Heer. He received the BE in System Engineering from the National University of San Agustin, Peru, in 2008, and the MS in Computer Science from the Institute of Mathematics and Computer Science at the University of São Paulo, Brazil in 2010. He received is Ph.D. in the Computer Science & Engineering at New York University, under the supervision of Dr. Claudio Silva. As part of his professional life he worked as software engineer in zAgile Inc on 2008. He did internships at Google Inc. (2008 and 2010), Kitware Inc. (2011), Oak Ridge National Laboratory (2012) and Xerox Research (2013).

Jorge's research has focused on data visualization. He has participated in projects on information visualization, scientific visualization, and visual analytics. He has also been involved in interdisciplinary collaborations that focused on the development of novel visualization methods to enable both climate and urban data analysis.

 

Andrzej PronobisAndrzej Pronobis

Andrzej Pronobis is a postdoctoral researcher in Computer Science & Engineering at the University of Washington working with Rajesh Rao and members of the Robotics and State Estimation Lab. His scientific interests focus on perception and spatial understanding mechanisms for mobile robots and their interplay with components responsible for interaction with the world and human users. In his current research, he investigates the use of novel deep learning methods for semantic knowledge representation and action planning in mobile robotics.

Before joining the UW, he was the Head of Research at OculusAI Technologies AB, a Swedish company developing mobile, cloud-based computer vision solutions. He obtained his Ph.D. in Computer Vision and Robotics from KTH Royal Institute of Technology in Stockholm, Sweden.

 

Luis PuigLuis Puig

Luis Puig is a postdoctoral researcher in Computer Science & Engineering at the University of Washington under the supervision of professor Dieter Fox. He obtained his Ph.D. degree from the University of Zaragoza at the Robotics, Perception and Real Time group.

Luis spent two years as a postdoctoral fellow in the GRASP Lab at the University of Pennsylvania. He is interested in omnidirectional vision, visual odometry, SLAM, object recognition and Structure from Motion.

 

Konstantinos RematasKonstantinos Rematas

Originally from Greece, Konstantinos Rematas is a postdoctoral research associate in the GRAIL lab of University of Washington working with Steve Seitz, Ira Kemelmacher-Shlizerman and Brian Curless. Recently Konstantinos completed his Ph.D. at Visics group of K.U. Leuven in Belgium where his thesis focused on generating novel views of 2D objects with the guidance of 3D models

Before arriving in Leuven, Konstantinos attended the Media Informatics master program of RWTH Aachen University and University of Bonn in Germany. He completed his CS bachelor’s at Aristotle University of Thessaloniki.

 

Babak Salimi

Babak SalimiBabak Salimi is a postdoctoral research associate in Computer Science & Engineering at the University of Washington, Seattle, where he works with Dan Suciu and the Database Group. He received his Ph.D. from the School of Computer Science at Carleton University in Ottawa, Canada, and his M.Sc. in Computation Theory (2009) and B.Sc. in Computer Engineering (2006) from Sharif University of Technology and Azad University of Mashahd, respectively.

Babak's research interests cover Knowledge Representation and Reasoning, Database Theory, Causality Theory, Statistical Inference and Data Analysis. Specifically, he would like to explore notion of causality and explanation in data exploration. In particular, the intention is to adapt methods from statistical inference to the task of explaining phenomena in databases. His Ph.D. research, advised by Professor Leopoldo Bertossi, focused on causality and reverse data management problems.

 

Roy Schwartz

Roy SchwartzRoy Schwartz is a postdoctoral researcher at University of Washington Computer Science & Engineering and the Allen Institute for Artificial Intelligence, working with Noah Smith and Oren Etzioni. His main research area is building computational models that can "understand" text scenes.

Roy completed his Ph.D. at the School of Computer Science and Engineering of The Hebrew University of Jerusalem, where he worked with Professor Ari Rappoport. He completed his Master's degree in computer science and his B.Sc. in computer science and cognitive science at The Hebrew University of Jerusalem.

 

Chris Sweeney

Chris SweeneyChris Sweeney is a postdoctoral researcher at the University of Washington working with professors Steve Seitz and Brian Curless in the GRAIL lab. His current research is focused on large-scale 3D reconstruction and creating real-world content for virtual reality. This includes many areas of computer vision and graphics such as Structure-from-Motion and Multiview Stereo.

Chris received his Ph.D. in Computer Science from the University of California, Santa Barbara where he was advised by Professors Matthew Turk and Tobias Hollerer in the Four Eyes Lab. He received his B.S. in Computer Science with high distinction from the University of Virginia in May 2011 as an undergraduate in the UVa Computer Graphics Group.

 

Christopher Takahashi

Christopher TakahashiChris Takahashi is a postdoctoral research associate at the University of Washington, where he works with professor Luis Ceze and Microsoft Research to explore the intersection of biology and computing. As a member of the Molecular Information Systems Lab at the UW, Chris works with a top-notch team of computer scientists, electrical engineers and synthetic biologists on the development of a DNA-based hard drive.

Chris completed his Ph.D. under the supervision of UW professor Eric Klavins specializing in laboratory automation and synthetic applications for laboratory evolution. He earned his M.S. in control theory at the University of Michigan, Ann Arbor, and B.S. degrees in electrical engineering and computer science.

 

Vamsi TallaVamsi Talla

Vamsi Talla is a postdoctoral research associate at the University of Washington, where he works with professors Joshua Smith and Shyam Gollakota. Vamsi received his Ph.D. (2016) and M.S. (2012) in Electrical Engineering from the University of Washington, Seattle and B.Tech (2009) in Electronics and Communication Engineering from IIT Guwahati. He also completed the Technology Entrepreneurship Certificate (TEC) program from the UW's Foster School of Business.

Vamsi's research spans the design of integrated circuits and systems solutions in the broad area of power harvesting, low power sensing, wireless power transfer and low power communication. His prior research was in the area of implantable devices. Presently, Talla is focused on developing battery free sensing, computational and communication platforms for the Internet of Things.

 

Chenhao Tan

Chenhao Tan is a postdoctoral research associate at the University of Washington. His research interest focuses on understanding individual behaviors at the micro level and community dynamics at the macro level. He aims to harness emerging data in social interactions to explain and predict human decisions, whereby enhancing social and technological systems.

He received his Ph.D. in Computer Science from Cornell University, working with Lillian Lee, and Bachelor's degrees in Computer Science and Economics from Tsinghua University.

 

Yu Xiang

Yu XiangYu Xiang is a postdoctoral researcher in Computer Science & Engineering at the University of Washington advised by Professor Dieter Fox. His research focuses on understanding objects and scenes from images and videos, with an emphasis on recognizing both semantic and 3D geometric properties of objects and scenes. His current work attempts to develop 3D object representation and recognition methods which can be useful for real world applications.

Yu Xiang received his Ph.D. in computer vision from the University of Michigan in 2015 advised by Professor Silvio Savarese, M.S. degree in computer science from Fudan University in 2010 advised by Professor Xiangdong Zhou, and B.S. degree in computer science from Fudan University in 2007.