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Qasim Bukhari

Translational Data Scientist with expertise in machine learning for healthcare and computational neuroscience

Qasim Bukhari is a computational scientist with a wealth of experience in founding companies and leading teams to deliver innovative solutions in personalized medicine.

He holds a PhD degree from ETH Zurich, specializing in machine learning, network analysis, and high-dimensional time-series analysis. He also has a strong educational background in Computer Science, Physics, and Electrical Engineering from various prestigious universities around the world.

Qasim's expertise lies in high-dimensional time series analysis, network modeling, signal processing, and machine learning tools, particularly applied to fMRI data and brain functional connectivity estimation across different conditions.

He has a diverse skill set that includes image processing, computer vision, and electrical power systems, in addition to a keen interest in high-dimensional data analysis, neuroimaging, brain networks, translational research, project management, mentoring, problem-solving, and scientific communication.

His professional journey includes roles as a Postdoctoral Research Associate at MIT, Chair of Professional Development at the Postdoctoral Association at MIT, Co-Founder of Tech-Guides (an AI-based mentor matching service), Principle Investigator at the University of Coimbra, and Visiting Researcher at Harvard Medical School, among others.

Qasim Bukhari's research and work touch on a wide array of fields, from computational science to healthcare, showcasing his versatility and aptitude for cutting-edge technological advancements.

Qasim Bukhari
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Location

Cambridge, Massachusetts, United States