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

 

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.

 

Leilani Battle

Leilani BattleLeilani Battle is a postdoctoral research associate at the University of Washington, where she is a member of the Interactive Data Lab working with Professor Jeffrey Heer. She received a B.S in Computer Engineering from the University of Washington in 2011. She earned her M.S. in Computer Science (2013) and Ph.D. in Computer Science (2017) from MIT, where she was advised by Professor Michael Stonebraker. Her research interests lie at the intersection of data management, user interface design, and visual analytics, with the aim of building intuitive and scalable database exploration tools.

 

Tapo Bhattacharjee

Tapo BhattacharjeeTapomayukh "Tapo" Bhattacharjee is a postdoctoral research associate in Computer Science & Engineering at the University of Washington, working with Professor Siddhartha Srinivasa in the Personal Robotics Lab. He completed his Ph.D. in Robotics from Georgia Tech under the supervision of Professor Charlie Kemp. His primary research interests are in the field of haptic perception, tactile sensing, machine learning, and manipulation. He believes in the potential of using multimodal haptic signals to enhance robot manipulation capabilities. He aims to achieve this by inferring relevant properties of the world using physics-based and data-driven methods.

 

Yonatan Bisk

Yonatan BiskYonatan Bisk is a postdoctoral research associate at the University of Washington working with Yejin Choi. His research is in the area of Natural Language Processing focusing on language grounding and weakly supervised learning. He works on teaching computers to understand language and the world by learning representations that link abstract language to low-level actions. He previously worked with Daniel Marcu at the Information Sciences Institute at USC, completed his Ph.D. with Julia Hockenamier at the University of Illinois at Urbana-Champaign in unsupervised grammar induction, and received his BS while working with Risto Miikkulainen at the University of Texas at Austin.

 

Jan Buys

Jan BuysJan Buys is a postdoctoral researcher in Computer Science & Engineering at the University of Washington, working with Professor Yejin Choi. His research interests are Natural Language Processing and Machine Learning, with a focus on text generation and structured prediction models. He is finishing up his Ph.D. at the University of Oxford under supervision of Prof. Phil Blunsom. He completed a Master’s degree in Computer Science and undergraduate studies in Computer Science and Mathematics at the University of Stellenbosch in South Africa.

 

Earlence Fernandes

Earlence FernandesEarlence Fernandes is a research associate in Computer Science & Engineering where he works with professors Tadayoshi Kohno, Franziska Roesner, and the UW Security & Privacy Research Lab. He received his Ph.D. from the University of Michigan in 2017, where he was advised by professor Atul Prakash. Earlence's thesis focused on secure design techniques for Internet of Things software platforms. His work at the University of Washington delves deeper into the security and privacy issues of Internet of Things platforms and Cyber-Physical systems in general. He is also interested in the security of machine learning when applied to the control of physical objects such as cars and robots.

 

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.

 

Yangfeng Ji

Yanfeng JiYangfeng 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.

 

Ramya Korlakai Vinayak

Ramya Korlakai VinayakRamya Korlakai Vinayak is a postdoctoral researcher in Paul G. Allen School of Computer Science and Engineering at the University of Washington in Seattle, working with Sham Kakade. Her research interests broadly span the areas of machine learning, crowdsourcing and optimization. Ramya completed her Ph.D. at Caltech where she worked with Babak Hassibi. She received her B.Tech from the Indian Institute of Technology Madras.

 

Omer Levy

Omer LevyOmer Levy is a postdoctoral researcher in the Department of Computer Science & Engineering at the University of Washington, working with Prof. Luke Zettlemoyer. Previously, he completed his BSc and MSc at Technion – Israel Institute of Technology with the guidance of Prof. Shaul Markovitch, and his PhD at Bar-Ilan University with the supervision of Prof. Ido Dagan and Dr. Yoav Goldberg. He is interested in realizing high-level semantic applications such as question answering and summarization to help people cope with information overload. At the heart of these applications are challenges in textual entailment, semantic similarity, and reading comprehension, which form the core of his current research. He is also interested in the current advances in deep learning and how they can facilitate semantic applications.

 

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.

 

Andrzej Pronobis

Andrzej PronobisAndrzej 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.

 

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.

 

Spencer Sevilla

Spencer SevillaSpencer Sevilla is a postdoctoral researcher in Computer Science and Engineering at the University of Washington, where he works with Kurtis Heimerl and the ICTD Lab. His research is focused on improving internet access in remote and disconnected parts of the world, with a current focus on rural and indigenous cellular networks. Spencer received his Ph.D. in 2017 from the University of California at Santa Cruz, where he was advised by J.J. Garcia-Luna-Aceves.

 

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.

 

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.

 

Daqing Yi

Daqing YiDaqing Yi is a postdoctoral research associate in Computer Science & Engineering at the University of Washington, working with Professor Siddhartha Srinivasa in the Personal Robotics Lab. He completed his Ph.D. in Computer Science from Brigham Young University under the supervision of Professor Michael Goodrich. His primary research interests are in the field of human-centered robotics intelligence and motion planning. His current research focuses on manipulation and language communication of robots that collaborate with humans.