About
Appointed Canada CIFAR AI Chair – 2025
Terence Blaskovits is an assistant professor in the Faculty of Science at the University of Alberta and a Fellow at the Alberta Machine Intelligence Institute (Amii). He works at the interface of machine learning (ML), artificial intelligence (AI) and computational chemistry for the discovery of molecules and materials for energy, optical and catalysis applications. In particular, he is focused on the design of next-generation carbon-based materials for organic light-emitting diodes (OLEDs) and organic photovoltaics (OPV), i.e. compounds that emit and absorb light. He searches for chemical insight through quantum chemical simulations, AI and data – without stepping into a lab.
Awards
- Best Thesis in Chemistry & Chemical Engineering, EPFL (2024)
- Richard J. Schmeelk Canada Fellowship, Schmeelk Foundation (2017-2018)
- Medal of the Lieutenant-Governor of Québec for Youth, Government of Québec (2016)
- Schulich Leader Scholarship, Université Laval (2012-2016)
Relevant Publications
- Blaskovits, J. T., Laplaza, R., Vela, S., & Corminboeuf, C. (2024). “Data-driven discovery of organic electronic materials enabled by hybrid top-down/bottom-up design.” Advanced Materials, 36, pp. 2305602.
- Blaskovits, J. T., Garner, M. H., & Corminboeuf, C. (2023). “Symmetry-induced singlet-triplet inversions in non-alternant hydrocarbons.” Angewandte Chemie, 135, 15, pp. e202218156.
- Schaufelberger, L., Blaskovits, J. T., Laplaza, R., Jorner, K. & Corminboeuf, C. (2024). “Inverse Design of Singlet Fission Materials with Uncertainty-Controlled Genetic Optimization.” Angewandte Chemie, pp. e202415056.
- Worakul, T., Laplaza, R., Blaskovits, J. T., & Corminboeuf, C. (2025). “Generative Design of Singlet Fission Materials.” Chemical Science, 16, pp. 17956-17969.