Staff Members
Students
Staff Members
| Name | Head Shot | Brief Background & Affiliations | Contact Info |
|---|---|---|
Name: Abhishek Pratap | Short Bio: < under construction > Affiliations: Group Head, AID 4 Mental Health Lab | Email: abhishek.pratap@camh.ca |
| Short Bio: My name's Ethan and I just recently graduated from my Master's at UofT studying Neuroinformatics under Dr. Shreejoy Tripathy who is also at the KCNI! I have a traditional "wet lab" background, studying brain samples in mice but have transferred since my undergrad to more computational research. I'm looking forward to use my neuroscience research background into better understanding digital health! Affiliations: Research Analyst, AID4MH | CAMH | Krembil Centre for Neuroinformatics | Email: ethan.kim@camh.ca |
 Name: Sophie Lafaille | Short Bio: SOCRA Certified clinical research professional with over 25 years’ progressive experience. I have extensive experience in all research study operations, research training, research ethics, legal contracts, research HR & CAMH P&E, financial management, grant review and applications, adhering to and meeting REB, QA and regulatory requirements. Affiliations: Research Manager | CAMH | Krembil Centre for Neuroinformatics | Email: sophie.lafaille@camh.ca LinkedIn: https://www.linkedin.com/in/sophie-lafaille-38bb83167/ |
Name: Aditi Surendra | Short Bio: From the dawn of my career, I have jumped from one industry to another gathering valued experience in a variety of things - event management, music journalism, copy and content writing, graphic design, radio production and even had a couple of short stints as a DJ. I finally chose the path of a content creator for the development sector, covering topics like education, wildlife and sexual and mental health. In 2019, I started working for White Swan Foundation for Mental Health, India's largest mental health repository until the closure of their content team. Since then, I have worked exclusively on mental health, contributing with my writing and design skills. Affiliations: Creative Consultant, AID4MH | Email: aditisurendra@gmail.com |
Name: Sophia Xueyling Li | Short Bio: Sophia earned an Honours BSc degree in Pharmacology and Biomedical Toxicology from the University of Toronto, and is currently pursuing a master's degree in Health Informatics at the Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health at UofT. She is interested in advanced data analytics to provide data-driven recommendations and solutions to improve healthcare. In her spare time, she enjoys baking, trail walking along Lakeshore, and watching funny dog videos. Affiliations: Research Analyst, AID4MH | CAMH | Krembil Centre for Neuroinformatics | Email: sophia.li@camh.ca Github: https://github.com/sophiixy LinkedIn: https://www.linkedin.com/in/sophia-xueying-li/ Personal Website: http://individual.utoronto.ca/sophiaxyli/ |
Name: Ramzi Halabi | Short Bio: I have a B.Sc and M.Sc in Biomedical Engineering, and a Ph.D. in Signal Processing applied to biomedical signals. I hold certifications in Neural Engineering, Advanced Signal Processing, and Deep Learning. I've received several research awards and co-authored a number of peer-reviewed publications. My research interests are: Electrophysiological and biomechanical signal processing, artificial intelligence in healthcare, computational neuroscience, and wearable medical device design. I have 10 years of combined experience in clinical and academic settings, and I co-founded and held the CTO position of a startup leading a novel design of a wearable non-invasive glucometer. Affiliations: Postdoctoral Fellow, AID4MH | CAMH | Krembil Centre for Neuroinformatics | Email: ramzi.o.halabi@gmail.com |
Students
| Name | Head Shot | Brief Background & Affiliations | Contact Info |
|---|---|---|
Name: Ava Homiar | Short Bio: I am a research trainee at the AID4MH Lab, where I am involved in research coordination for multiple ongoing projects. I am interested in evaluating the clinical utility of AI and digital technology for the monitoring and treatment of symptoms in individuals living with mental illness, as well as assessing patients’ ability and motivation to engage in digital care/research. Affiliations: Research Trainee, AID4MH | CAMH | Krembil Centre for Neuroinformatics Undergraduate Thesis Student | McMaster University | Email: ava.homiar@camh.ca Github: https://github.com/homiar LinkedIn: www.linkedin.com/in/avahomiar |
Name: Amirmohammad Kazemeini | Short Bio: I am Amirmohammad Kazemeini, currently finishing my M.Sc. in CS at Western University. I have experience in Data Mining and Natural Language Processing. In my past publications, I was primarily involved with combining psychology with Natural Language processing, and to be specific, I utilized state-of-the-art NLP approaches to extract people's personality traits based on textual documents. Before my current internship, I was an intern at Vector Institute. My main interest is extracting psychological insight from human-centered mental health datasets using advanced ML approaches to improve the quality of mental health support. Affiliations: Master's student | University of Western Ontario | Email: amirmohammadkz@gmail.com |
Name: Rahavi Selvarajan | Short Bio: I am Rahavi Selvarajan, a 2nd-year graduate student in the Department of Electrical and Computer Engineering at the University of Toronto. I am currently working in the field of Computer Vision and Deep Learning. I work as a Research Trainee at the Institute of Health Policy, Management and Evaluation under the guidance of Dr. Elham Dolotabadi. I have also worked with probabilistic models and developed custom contrastive learning networks for multi-class multi-label image classification for use in computational pathology. My research interests include design and implementation of unsupervised deep learning models in the field of Healthcare. Master's student | University of Toronto, Electrical and Computer Engineering | Email: rahavi.selvarajan@camh.ca |
Name: Zixiong Lin | I am a Computer Science undergraduate student in UofT. I am particularly interested in AI and ML. Undergraduate student at UofT | Email: Zixiong.Lin@camh.ca GitHub: https://github.com/ZixiongLin1 LinkedIn: https://www.linkedin.com/in/zixiong-lin-31289a213/ |
Name: Jana Kabrit Preferred name: Jan Pronouns: She/Her | ML/MLOps Intern Short Bio: I am a fresh graduate in Mechatronics Engineering with minors in Computer Science and Mathematics. Passionate about AI and its prospects in the healthcare industry, I am always looking to expand my knowledge, skillset, and meet new people. | Email: jana.kabrit@outlook.com Github: www.github.com/jana-kabrit Linkedin: www.linkedin.com/in/jana-kabrit |
Name: Abu Bakar Butt Preferred name: Abu Pronouns: He/him | A third year Health Studies student at University of Waterloo | Email: abbutt@uwaterloo.ca LinkedIn: https://www.linkedin.com/in/abu-bakar-butt-00a2b5207/ |
Past Members
| Name | Head Shot | Brief Background & Affiliations | Contact Info |
|---|---|---|
| Short Bio: My name is Calvin Herd and I am an undergraduate student studying Engineering Science at U of T in my final year. I have joined the AID4MH with a strong machine learning background, and I am looking to leverage my machine learning skills to contribute in the world of mental health. 🙂 Affiliations: Undergraduate student | Engineering Science, University of Toronto | Email: calvin.herd@mail.utoronto.ca Github: www.github.com/calvinherd LinkedIn: https://www.linkedin.com/in/calvin-herd/ |
