Jessy Ceha (website | cv)
Ph.D. Student (Starting Fall 2017)

Jessy's current research interest is on curiosity and human-robot interaction. Jessy obtained her M.Sc. cum laude, in Human-Machine Communication (Department of Artificial Intelligence) from the University of Groningen, the Netherlands, in 2016, and B.Sc. in Cognitive Systems: Cognition and Brain from University of British Columbia in 2014. Her masters research involves developing and testing an EEG neurofeedback system to enhance voice perception and conducting psychoacoustic experiments. She has interned at Philips Consumer Lifestyle in Drachten, the Netherlands, where she manufactured, tested, and finalized an innovative product. Jessy was the recipent of the Provost Doctoral Entrance Award for Women and the University of Waterloo Entrance Scholarship in December 2016, and the Avril McDonald Prize in August 2016.
Mike Schaekermann (website | cv)
Ph.D. Student

Mike's research focuses on developing methods to combine the power of crowd and machine intelligence for solving computational problems, with a special focus on the analysis of medical time series data. Mike has a dual background in medicine and computer science, having received a medical degree from the University of Marburg, Germany, and a Bachelor of Science in Engineering at Salzburg University of Applied Sciences, Austria. In support of his studies, Mike has received the David R. Cheriton Graduate Scholarship from UWaterloo, several merit-based scholarships from Salzburg University of Applied Sciences and an engineering scholarship from the Economic Chamber of Salzburg. He was also a nominee for the German National Academic Foundation. Mike is currently completing a software engineering internship at Google, Mountain View.
Sangho Suh (website | cv)
Ph.D. Student (Starting Fall 2017)

Sangho's research focuses on creating new techniques and interactive systems that improve the way people acquire and interact with information/knowledge. His work is motivated by the desire to deepen our understanding of the nature of learning process, and to propose creative solutions to make it a positive, liberating experience. Before joining Waterloo, Sangho earned a B.S. in Computer Science from Korea University. His research have been published at ICDM, KDD, and NIPS. He received Best Student Paper Award in ICDM'16 as well as a number of research/project awards and scholarships.
Alex Williams (website | cv)
Ph.D. Student

Alex’s research focuses on studying how human-agent collaboration can enhance traditional web-based citizen science and crowdsourcing tasks. Before joining Waterloo, he was a research scientist at the University of Oxford in the Faculty of Classics where he worked on the Ancient Lives crowdsourcing project. He has had two research internships at Oak Ridge National Laboratory’s Biomedical Sciences and Engineering division and will be working as a research intern in the CLUES group at Microsoft Research in the upcoming summer. Alex has been recognized for his scholarship through achievements that include the Paul H. Hutcheson Outstanding Graduate award in 2015, the University of Waterloo’s International Doctoral Student Award, and the highly prestigious GO-Bell scholarship. More recently, he was a finalist for Canada’s most competitive scholarship, the Vanier Graduate Scholarship. He holds both an MS and a BS in Computer Science from Middle Tennessee State University.
William Callaghan (website | cv)
Masters Student

William's research interests are at the intersection of computer science and healthcare, with a focus on how input from multiple sources (crowd, machines, and experts) influence the reliability and accuracy of medical data analysis. William has a background in both Computer Science and Microbiology & Immunology, graduating with an Honors Bachelors of Science from the University of Western Ontario where his previous research focused on constructing functional brain networks as diagnostic markers for neurological disease. His current and previous research are motivated by time-series related problems across various domains, and in addition to his primary research, he is also interested in how such temporal data can be represented and analyzed with graphs. William is the recipient of merit-based scholarships from both the University of Western Ontario and Raytheon Canada, and has previously interned at eSentire where he built a platform for rapid analysis of large-scale time-series data.
Nalin Chhibber (website | cv)
Masters Student (Starting Fall 2017)

Nalin's research interest lies in the intersection of Human-Computer Interaction, Intelligent User Interfaces, and Human Computation. He holds a Bachelors degree in Computer Science(B.Tech) from Indraprastha University, India. Nalin has interned at GS-Scientific Information Service group in CERN (European Organization for Nuclear Research), worked as a SPARK scholar at CSIR-4PI Bangalore(Council of Scientific and Industrial Research- Fourth Paradigm Institute) and has been a part of Crowdresearch collective by Stanford HCI group. He likes creating games, contributing to open-source projects and staying curious about technology.
Greg D'Eon (website | cv)
Masters Student (Starting Fall 2017)

Greg's research interest is on combining crowd intelligence with machine learning algorithms. Before joining Waterloo, Greg received a B.Eng. in Computer Engineering at Dalhousie University. He earned a wide range of experience through Dalhousie's NSERC DREAMS scholarship and the engineering co-op program, including two terms researching batteries with the Jeff Dahn Research Group. Greg currently holds an NSERC CGS-M scholarship for 2017-2018. He was the recipient of Dalhousie's John G. Bruce Scholarship and Bob Walter Award (2014) and he was nominated for Top Co-op Student of the Year (2016).
Louis Kuang (website | cv)
Masters Student (Starting Fall 2017)

Louis' research interest is in how machine learning algorithms can be applied in various applications such as EEG analysis for brain activities classification. In particular, he is curious about the nuances of different learning algorithms and the underlying reasons (intuitions) that make them successful or unsuccessful in different settings. Currently, he is a final year student in the Department of Computer Science and Engineering at the Chinese University of Hong Kong (CUHK).
Meng Dong (website | cv)
Undergraduate Student

Meng is a 3rd year undergraduate student in the David R. Cheriton School of Computer Science at the University of Waterloo. Her research interest is at the intersection of information retrieval and human computer interaction. She has strong interest in research, having worked as a research intern in Distributed Information Systems Lab at EPFL, and currently involved in a project related to document retrieval using active learning.
Helga Jiang (website | cv)
Undergraduate Student

Helga’s research focuses on interaction design and its effects on user performance in crowdsourcing tasks. She is fascinated with how design can shape a user’s experience with a task or product, and how it can ultimately affect society and the world at large. Helga is a Fine Arts student with a Computer Science minor at the University of Waterloo and has previously worked as a design intern at Shopify, helping improve the ecommerce platform. This summer, she is heading to Atlanta to complete a product design internship at MailChimp.