Co-chair · AI and Human Societies Group, Massey College
Co-chairing the AI and Human Societies Group at Massey College, where I have been a Junior Fellow since 2023 and have organized AI dialogues and debates.
Machine learning · Healthcare · Society
Abhishek Moturu
Building reliable AI models.
Focus on practical applications.
I am a Computer Science PhD Candidate at the University of Toronto.
My research spans learning from imperfect data, socially grounded AI safety, and the use of AI in healthcare. I work with the Vector Institute, SickKids, UHN KITE, and the Faculty of Information. I am an Education Trainee Co-Lead at T-CAIREM, a Junior Fellow and co-chair of the AI and Human Societies Group at Massey College, and the CTO of CoordCare.
Based in Toronto, Canada. Currently looking for ML/AI roles in New York City and Toronto.
About
Noisy data.
Healthcare AI.
AI literacy.
AI governance.
AI safety.
My PhD research focuses on developing lightweight methods that learn from differences between training samples. LiLAW learns how to weight training examples, LiNC estimates how much to trust each label, and LiBaGS selects synthetic samples near a model’s decision boundary. Related work examines fairness and the use of synthetic data. My PhD supervisors are Anna Goldenberg and Babak Taati.
I work across image, tabular, time-series, text, and multimodal data. Projects with SickKids and UHN KITE have included pediatric cancer surveillance and automated pain assessment in older adults with severe dementia. I have also worked on surgical intervention prediction in pediatric renal ultrasounds and understanding bias in dermatological AI systems. At the Faculty of Information, I work on Towards Socially Grounded AI Safety, studying how social theory and plural perspectives can inform language models and agentic systems.
Through T-CAIREM, I co-lead education initiatives and have led work on AI literacy and hospital AI governance for the Toronto Academic Health Science Network (TAHSN). View my affiliations.
Research
Recent papers & ongoing work
Machine learning methods, clinical studies, and research on AI in society. Browse recent work below, or see earlier publications and full citations.
Publications & workshop papers
- 2026
- 2026
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- 2026
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- 2025
Preprints
- 2026
- 2026
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- 2025
- 2025
Manuscripts in progress
- 2026
Towards Sustainable AI Literacy
- 2026
Towards a Healthcare AI Governance Framework
- 2026
Towards a Healthcare AI Literacy Framework
- 2026
A Narrative Review of Artificial Intelligence-Based Imaging in Dermatology: From Potential to Practice
No matching papers. Try another search or select “All work”.
Experience
Selected roles
My current research, technical, and education roles alongside my PhD.
Research Fellow · Faculty of Information, U of T
Working with Matt Ratto and Daniel Silver on Towards Socially Grounded AI Safety, developing socially grounded and pluralistically aligned language models through research, analysis, and prototype development.
Chief Technology Officer · CoordCare
Building prototypes for agentic AI systems in healthcare and working with the founders to secure investment.
Research Assistant · U of T + Vector Institute
Developing lightweight methods for sample weighting, label correction, fairness, time-series missingness, targeted synthetic data, and vision-language reasoning.
Research Assistant · SickKids + UHN KITE
Working with clinical collaborators on pediatric imaging for cancer surveillance at SickKids and automated pain-monitoring projects at UHN KITE and in long-term care homes in Regina and Saskatoon.
Education Trainee Co‑Lead · T‑CAIREM
Co-leading education, resident training, AI literacy, governance projects, and trainee programming in medicine.
2011—Today
Affiliations
2026–Present
Faculty of Information, University of Toronto
2025–Present
Data Sciences InstituteCanadian International CouncilCoordCare
2024–Present
Faculty Club
2023–Present
Massey CollegeTemerty Centre for AI Research and Education in Medicine
2021–Present
Vector Institute for Artificial Intelligence
2019–Present
The Hospital for Sick ChildrenUHN KITE Research Institute
2015–Present
University of Toronto, St. GeorgeTrinity College
2013–2014
University of Toronto, Mississauga
2011–2013
Google
Teaching, literacy, and governance
Teaching and public-interest AI work
Technical teaching
I have taught Git, Unix, and Shell through the U of T Data Sciences Institute and served as a TA for neural networks, image understanding, software design, mathematical reasoning, and introductory computer science.
AI education
At T-CAIREM, I develop training for medical residents and other learners, contribute to an international AI curriculum in medicine, and co-design educational resources with patients and caregivers.
Governance and service
I work on hospital AI governance, AI literacy, curriculum development, and an international living glossary for AI in medicine. I also review for conferences and journals in machine learning and medical AI.
Credentials
Education, recognition, and technical background
Education
- PhD, Computer Science, University of Toronto (in progress)
- MSc, Computer Science, University of Toronto
- HBSc, Computer Science + Mathematics, High Distinction
Recognition
- Bell Graduate Scholarship
- Vector Institute Research Scholarship
- Ontario Graduate Scholarship
- CIHR CGS‑M and QEII‑GSST
Technical skills
Python, PyTorch, TensorFlow, OpenCV, NumPy, SciPy, scikit-learn, Git, Linux, MATLAB, Julia, C/C++, Java, Swift, LaTeX
Contact
Get in touch
Email is the best way to reach me about research, teaching, speaking, or collaboration.