People


Joseph Jay Williams: Assistant Professor in Computer Science (courtesy in Psychology).

Graduate Students & Staff in Computer Science


Arghavan Modiri

Master’s Student, working on the design of mobile health intervention systems

Mobile health intervention systems combines human-computer interaction with statistical machine learning to discover how to personalize text messages to people in order to motivate them to do more exercise and improve adherence to physical activity. 

Also, studying contextual Multi-Armed Bandits (MABs) and similar algorithms and their applications in health.



Ananya Bhattacharjee

First year PhD student, interested in Human-Computer Interaction, Design Thinking, and Machine Learning. Currently working on designing a text message based intervention system to help manage common concerns like depression and anxiety.



Angela Zavaleta

Angela Zavaleta

CS Master's student interested in computer science education and HCI. Currently focused on interventions to help students with planning ahead and time management, in order to motivate them to stay on track when learning online and mitigate procrastination.



Jacob Nogas

Master’s Student, generally interested in statistics and machine learning applied to HCI. For my masters, I am working on issues pertaining to statistical inference from data collected by Multi-Armed Bandit algorithms in online educational experiments. I am interested in how type 1 errors (false positives) can be controlled in adaptive experiments, and validating these methods in real world online education settings. 



Mohi Reza

First-year Ph.D. student interested in HCI, Computer Science education, and the psychology of learning.



Sam Maldonado

Sam Maldonado

I am a research programmer with the IAI lab. I build and maintain applications for the lab, such as the MOOClet Engine, our solution for A/B testing and adaptive experimentation in online contexts, as well as building systems for adaptive messaging in contexts such as education and mental health.



Affiliated graduate students


Hammad Shaikh

Fifth-year PhD student in economics, working on improving study habits of students on online platforms through technology-mediated interventions that leverage insights from behavioral science. To be more concrete, we evaluate the impact of varying messaging interventions that aim to induce students to do optional ungraded problems and start homework earlier in an online setting using experiments.



Nina Deliu

Nina Deliu

I am a Researcher at the MRC Biostatistics Unit - University of Cambridge (UK), and a PhD Candidate in Methodological Statistics at Sapienza University of Rome (Italy). My research interests lie at the intersection between Bayesian methods, statistical reinforcement learning & multi-armed bandits, and modern real-world applications based on adaptive experimentation.



Veronica Bergstrom

Second-year PhD student in psychology, collaborating with Goodlife Fitness to investigate whether personalized text messages can increase adherence to one’s workout schedule. In her primary line of research she investigates biases between various religious (Christian, Muslim) and nonreligious (atheist, agnostic) groups.


Undergraduate Students


Ben Prystawski

Ben Prystawski

I am a fourth-year undergraduate student in computer science and cognitive science. My work in the IAI lab is developing multi-armed bandit algorithms that produce reliable data in adaptive experiments. I am generally interested in computational cognitive science, language, and theory of mind.



Emmy Liu

Emmy Liu

Emmy is a fourth-year undergraduate student specializing in computer science and majoring in cognitive science. She is broadly interested in computational cognitive science and computational linguistics. She is currently the project manager for the metaskills project.



Qi Yin Zheng

Third-year computer science specialist primarily focusing on the students on track project which aims to improve online homework participation in CS1. In the past I have also worked on the personalized explanations project.



Yuya Asano

Yuya Asano

I am an undergraduate student studying computer science at UofT. I am interested in natural language processing and human-computer interaction, especially the application of these techniques to education. At the IAI lab, I am working on the personalized explanation project. I am also collaborating with CMU on 1) human-in-loop approach to generate instructionally beneficial hints for programming questions and 2) extracting actionable insights from student reflections. 



Alex Liu

Alex Liu

Second year computer science specialist student working on the statistically considered bandit projects.



Alvina Lai

Alvina Lai

2nd year psychology and cognitive science student, minoring in sociology. Working on mental health america intervention project with collaborators from Northwestern university, leading recruitment and webpage development for a text messaging service.



Angelina Liu

Angelina Liu

Angelina is a second year student currently pursuing a Psychology specialist and Nutritional Science major. Currently involved with OnTack, MHA and Metaskills projects.



Anna Ly

I'm a 2nd year UofT student specializing in Applied Statistics from the Mississauga campus. For now, I usually assists with organizing undergraduate meetings. I also really like animals.



Beiling (Arissa) Du

Beiling (Arissa) Du

Arissa is a 4th year Criminology & Psychology student. Besides trying to survive U of T, she's generally involved with project management in the lab such as MHA and Personalized Explanations.



Bei Peng

Bei Peng

I'm a third year computer science and cognitive science student interested in HCI and social computing. I'm currently working on designing a text message based intervention system to help manage common concerns like depression and anxiety.



Christopher Thompson

I'm a third year life sciences student, majoring in Physiology and Global Health. At the IAI Group, I'm involved in project management and research with the OnTrack Project. In my spare time, I like to cook, read US history, and play with my dogs.



Gingin Chien

Gingin Chien

Third year student majoring in Psychology and Statistics. Currently working on the Mental Health America project.



Gyan Sinha

First-year undergraduate student in Life Sciences stream. Excited to be working with the IAI Group as a Lab Assistant.



Helena Jovic

Helena Jovic

Second-year undergraduate at the University of Toronto studying Computer Science and Biology. Currently involved with the Mental Health America intervention project and Personalized Explanations. 



Huizhen Cui

First-year computer science student

Working on the personalized explanations project.



Ishra Haq

Ishra Haq

2nd year diaspora and transnationalism student. Helping with the MHA project and other tasks around the lab. 



Jehan Vakharia

Jehan Vakharia

In charge of implementing Multi-Armed Bandit solutions for the Mental Health America (MHA) Project. Also managing the coordination of different internal UofT teams for the MHA project.



Jenny Ziyi Xu

Jenny Ziyi Xu

Third-year computer science student working on bandit algorithms such as improving statistical inference in Thompson Sampling. 



Jiading Zhu

Fourth-year Engineering Science student in Machine Intelligence Option. Background in ML/RL.

Working on an undergraduate thesis with Joseph on factorial design, also helping out on DIAMANTE and Goodlife.



Jiakai Shi

Jiakai Shi

Third-year computer science & statistic student Volunteering on the on track project and the technical infrastructure in the mental health America project



Jiayi Ge

I'm an undergraduate student studying Mathematics and its Application Specialist at UofT. I'm working in the IAI lab on the Personalized Explanations project.



Really appreciate Prof. Joseph offered me a position in the team. Enrich myself lots of valuable skills in IAI lab, like collaboration, time-managements, etc. Furthermore, people here are so nice!! It's really an unforgettable experience to me. 



Juan Yi Loke

I am an undergraduate computer science and maths student interested in machine learning and its applications into different fields. In the IAI lab, I lead the software development of the mental health intervention project for Mental Health America (MHA). I also help in data analysis and the implementation of reinforcement learning algorithms. In my free time, I enjoy exercising and binge-watching TV shows!



Karrie Chou

Karrie Chou

Third-year undergraduate student at the University of Toronto specializing in Finance and Economics through the Rotman Commerce program and minoring in Statistics. Interested in behavioural economics, data science, international affairs, and policy reform. Currently involved on the OnTrack project and the entrepreneurship branch of the Mental Health America project.



Lilian Xu

Lillian Xu

I am a fourth year undergraduate student pursuing a double major in Global Health and Nutritional Sciences, with a minor in psychology. I am thrilled to be joining IAI Labs as a Work Study student for Fall 2020.



Linjia Zhou

Linjia Zhou

I am a second year Cognitive Science and Psychology double major. I'm interested in computer-human interactions, as a way to connect my studies in both computer science and psychology. In the lab, I am working with the OnTrack group and Personalized Explanations. My other hobbies include playing violin and mario kart.



Madhurima Dutta

Madhurima Dutta

A third-year student majoring in Computer Science, Cognitive Science and a Psychology minor. Working on the personalised explanations project by analysing qualitative and quantitative data as well as co-ordinating tasks in the team.



Muhammad Hamza Khan

Muhammad Hamza Khan

Second-year student with an interest in data science, pursuing a double major in Public Policy and Economics, with focus in Data Analytics.



Nayan Saxena

Nayan Saxena

Mathematics & Statistics undergraduate student, focused on issues pertaining to statistical inference from data collected by Multi-Armed Bandit (Reinforcement Learning) algorithms.



Pan Chen

Pan Chen

Pan Chen is a Fourth-year Computer Science & Statistics Science student at UofT. He is working within the OnTrack & Mental Health America teams. His research interest is Human-Computer Interaction. Besides, Pan Chen is also involved with Lab Citizenship Work, helping the IAI lab with his passion, creativity, and leadership.



Runlong (Harry) Ye

Runlong (Harry) Ye

I'm a second-year student at U of T majoring in Statistics and Economics, minoring in Computer Science. I'm interested in ML, AI, HCI and their practical implementations. Besides academics, I love to work out, biking, reading.



Samantha Quinto

Fifth-year computer science specialist and cognitive science student. Her primary research interests include computational linguistics and human-computer interaction. She is currently working on the mental health intervention project with collaborators from Northwestern University.



Sophy Sun

Sophy Sun

I am an undergraduate student in computer science and writing & rhetoric. Currently, I am involved with MHA Product Design and statistically considerate bandits.



Stella Cai

Stella Cai

I’m in my third year as a CS Specialist and doing minors in economics and statistics on the side. I’m thinking about going into natural language processing because I’ve always loved to study and learn new languages, but I’m also interested in creating great user experience designs.



Stephanie Cristea

Stephanie Cristea

Stephanie is a second-year undergraduate student double majoring in cognitive science and statistics at UofT. She's interested in using data science and machine learning to improve human-computer interactions. Outside of the lab, she spends her time learning to play the electric guitar, reading in coffee shops, and trying to keep her plants alive.



Tim Squire

Tim Squire

Hello, I am a second year Computer Science student at the UofT St. George campus. I am currently pursuing a specialist in computer science with a focus on artificial intelligence, a major in cognitive science and a minor in mathematics. I am working in the IAI lab on the Personalized Explanations project.



Tingfeng Xia

Tingfeng Xia

Undergraduate student in Computer Science and Statistics. Interest: applications of machine learning and designing / improving human-computer interaction experiences. 



Trisha Thakur

Trisha Thakur

Undergraduate student at the University of Toronto, majoring in Computer Science and Cognitive Science with a minor in Statistics. With interests in Machine Learning and Human-Computer Interaction, I am currently working on the personalized explanations project.



Xin Peng

Xin Peng

Third-year computer science and data science student working on Mental Health America project.



Yini Mao

Yini Mao

Second-year student pursuing a specialist in finance and economics and a major in statistics.
Working on the students on track project



Zoha Rehan

Zoha Rehan

Sophomore pursuing a Specialist in Computer Science with a Minor in Economics. Currently working on Statistical Bandits and the Entrepreneurship model for the project with Mental Health America!


Alumni & Previous lab members

Jaemarie Solyst

Jaemarie Solyst

I am a PhD student in the Human-Computer Interaction Institute at Carnegie Mellon University, and I worked in the IAI Lab on the Personalized Explanations project in 2019 and 2020 in-person and remotely. My research interests are in HCI and Education.



Jai Aggarwal

Fourth-year computer science and cognitive science student

Working on the student stress and DIAMANTE projects.



Michal Fishkin

Second-year engineering science student

Project manager for the exercise and mental health projects



Zarif Mahmud

Third-year computer science and statistics student

Working on the students on track project and organizing lab meetings



Meng Xia

PhD Student in CSE at the Hong Kong University of Science and Technology
Working on visual analytics of online learning data
Previously a visiting PhD student in the lab


Weiwen Leung

Amazon.


Sasha Poquet

University of New South Wales.

Regular External collaborators


Andrew Peterson

Andrew Peterson

Andrew is an Associate Professor, Teaching Stream in the Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM). He takes special pride in his role as an educator and has received the University of Toronto’s President’s Teaching Award and the OCUFA Teaching Award. Andrew led development of the online exercise system used in CS courses at U of T, and much of his research focuses on analysis of data from that system.



Anna Rafferty

Anna Rafferty

Anna Rafferty is an assistant professor at Carleton College in Computer Science. She completed her Ph.D. at the University of California, Berkeley, and was advised by Professor Tom Griffiths. Her recent work has been most concerned with how to apply machine learning and artificial intelligence techniques to improve education. Her projects have included developing algorithms to automatically diagnose students' understanding from their actions as well as more applied projects related to improving chemistry learning in the classroom.



Bibhas Chakraborty

Bibhas Chakraborty

I am an Associate Professor jointly appointed by the Centre for Quantitative Medicine and the Program in Health Services and Systems Research, Duke-NUS Medical School, and the Department of Statistics and Applied Probability at the National University of Singapore. I also hold an Adjunct Associate Professor position with the Department of Biostatistics and Bioinformatics at Duke University.



Caroline Figueroa

Carolyn Sealfon

Dr. Sealfon brings considerable experience with physics education research, faculty development, and Bayesian cosmostatistics to her growing interest in learning analytics. She currently facilitates learning in the largest introductory physics courses at U of T (Physics 131 and 132). She aims to apply learning analytics to empower diverse learners through fostering both scientific reasoning and compassion.



Thomas Price

Thomas Price

Thomas W. Price is an Assistant Professor in the Computer Science Department at North Carolina State University, where he runs the HINTS Lab. His research goal is to re-imagine educational programming environments as adaptive, data-driven systems that support students automatically as they pursue learning goals that are meaningful to them. His lab develops intelligent, adaptive technology that use data to automatically support students learning to program. His research sits at the intersection of Computing Education Research (CER), Educational Data Mining (EDM) and Intelligent Tutoring Systems (ITS).