Maciej Wiatrak
About Maciej Wiatrak
Maciej Wiatrak is a Machine Learning Engineer and PhD student at the Cambridge Centre for AI in Medicine, currently working at BenevolentAI in London, United Kingdom.
Current Roles in Machine Learning and AI
Maciej Wiatrak is currently a Machine Learning Engineer at BenevolentAI in London, United Kingdom. Additionally, he is pursuing his PhD at the Cambridge Centre for AI in Medicine in Cambridge, England. His work primarily focuses on advanced applications of artificial intelligence and machine learning, particularly in the field of medicine.
Previous Experience in Research and Internships
Maciej Wiatrak has accumulated significant experience through various research and intern roles. He worked as a Research Intern at The University of Edinburgh for 2 months in 2019 and as a Machine Learning Engineering Intern at Plural AI for 3 months the same year. Additionally, he had a stint as a Research Student at UCL for 6 months from 2018 to 2019, further solidifying his research capabilities in machine learning.
Industry Experience at Growbots and The Boston Consulting Group
Before focusing on machine learning, Maciej Wiatrak held multiple roles in the industry. He served as a Senior Account Executive and Data Science Intern at Growbots, with earlier roles as Account Executive and Sales Development Manager. Additionally, he was a Star League Member at The Boston Consulting Group from 2016 to 2017. His diverse experience in business and data science has provided him with a well-rounded skill set.
Academic Background in AI, Machine Learning, and Economics
Maciej Wiatrak has a strong academic background. He is currently pursuing a PhD in AI/ML for Molecular Biology at the University of Cambridge. He completed a Bachelor's degree in Computer Science (Major) and Economics (Minor) at UCL from 2016 to 2019. Prior to that, he studied Economics at SGH Warsaw School of Economics for one year and attended Batory High School in Warsaw.
PhD Supervision and Research Focus
During his PhD, Maciej Wiatrak is supervised by Prof. Andres Floto, Dr. Sarah Teichmann, and Prof. Mihaela van der Schaar. His research emphasizes Deep Learning for Genomics. He has participated in the EMNLP LOUHI Workshop, highlighting his active engagement in the academic community. More details on his work and research can be found on his personal website at https://macwiatrak.github.io/.