From Graphs to Growth: Mentorship, Math, and the Power of Algorithms
Huda Nassar is a data scientist who did her PhD at Purdue University, advised by David Gleich. Her research focused on graph alignment, using a combination of mathematics and computer science to solve real-world problems. After completing her PhD, Nassar did a postdoc at Stanford and now works at the company RelationalAI, where she develops optimized graph algorithms to help customers. Nassar is passionate about the intersection of mathematics and programming, and advocates for students to take courses in both areas. She also enjoys teaching and is a proponent of the Julia programming language. Nassar discusses how finding the right mentors has been crucial to her academic and career journey.
Women in Data Science Worldwide · Huda Nassar, graph algorithm, Professor Margot Gerritsen
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Show Notes
- Math and Computer Science (2:51)
- Graph Alignment (20:38)
Bio
Huda Nassar is a senior computer scientist at RelationalAI working on building the graph algorithms library offered as part of RelationalAI's product. Previously, Huda obtained a PhD in Computer Science from Purdue University and was a postdoc fellow at Stanford's School of Medicine. Huda is also known for her "Julia for Data Science" course which had over 13,000 students and focused on Data Science methods including graph analytics.
Connect with Huda
Huda Nassar on Linkedin
Connect with Us
Margot Gerritsen on LinkedIn
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