Kelvin Paschal Idanwekhai
Machine Learning | Computational Chemistry | Systems | Optimization | Society
- Email:
- [email protected]
- Address:
- Chapel Hill, NC, USA.
Kelvin Paschal Idanwekhai
Machine Learning | Computational Chemistry | Systems | Optimization | Society
I'm a researcher and developer with an interest in applying machine learning methods to both real-world and scientific problems.
I'm interested in intelligence, software, machine learning, brains, optimization problems, computational chemistry, stories, social and postmodern issues.
You can find my structured writing here. I also maintain a digital garden for musings and curations.
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University of North Carolina at Chapel Hill
2022 - Present
Ph.D. Candidate | My research involves the development and deployment of machine learning methods for autonomous and closed-loop experimentation. I use methods like Bayesian optimisation, reinforcement learning and LLMs to guide and optimise chemical and biological processes. More broadly, I am interested in how these methods will interface with new and existing experimental setups to create self-driving laboratories.
Obafemi Awolowo University
2016 - 2020
B.Sc. Industrial Chemistry | Thesis title: “Tuning the electronic properties of selected porphyrinoids for application as photosensitizers in photovoltaic cells” | A DFT/TD-DFT study of elected dyes that could be used as photosensitizers in dye-sensitized solar cells. Thesis supervisor: Dr. Kayode Sanusi
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