Joseph Jay Williams: Assistant Professor in Computer Science (courtesy in Psychology). Graduate Students & Staff in Computer Science Arghavan ModiriMaster’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.  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 ZavaletaCS 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.  Mohi RezaFirst-year Ph.D. student interested in HCI, Computer Science education, and the psychology of learning.  Sam MaldonadoI 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 ShaikhFifth-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 DeliuI 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 BergstromSecond-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 PrystawskiI 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 LiuEmmy 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 ZhengThird-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. 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.  Second year computer science specialist student working on the statistically considered bandit projects.  Alvina Lai2nd 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 is a second year student currently pursuing a Psychology specialist and Nutritional Science major. Currently involved with OnTack, MHA and Metaskills projects. Anna LyI'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.  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.  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.  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.  Third year student majoring in Psychology and Statistics. Currently working on the Mental Health America project.  First-year undergraduate student in Life Sciences stream. Excited to be working with the IAI Group as a Lab Assistant.  Helena JovicSecond-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 CuiFirst-year computer science student Working on the personalized explanations project.  Ishra Haq2nd year diaspora and transnationalism student. Helping with the MHA project and other tasks around the lab.  Jehan VakhariaIn 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. Third-year computer science student working on bandit algorithms such as improving statistical inference in Thompson Sampling.  Jiading ZhuFourth-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. Third-year computer science & statistic student Volunteering on the on track project and the technical infrastructure in the mental health America project  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.  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 ChouThird-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. 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 ZhouI 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.  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 KhanSecond-year student with an interest in data science, pursuing a double major in Public Policy and Economics, with focus in Data Analytics.  Nayan SaxenaMathematics & Statistics undergraduate student, focused on issues pertaining to statistical inference from data collected by Multi-Armed Bandit (Reinforcement Learning) algorithms.  Pan ChenPan 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) YeI'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 QuintoFifth-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 SunI am an undergraduate student in computer science and writing & rhetoric. Currently, I am involved with MHA Product Design and statistically considerate bandits.  Stella CaiI’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
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