From Graphs to Growth: Mentorship, Math, and the Power of Algorithms

10/17/24 • 36 min

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.

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Huda Nassar on Linkedin

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Margot Gerritsen on LinkedIn

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Math and Computer Science (2:51)
Graph Alignment (20:38)

Bio

Connect with Huda

Huda Nassar on Linkedin

Connect with Us

Margot Gerritsen on LinkedIn

Follow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)

Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher

Previous Episode

Beyond Borders: Elevating Women in Data Science and Leadership

Language as the access to different cultures (2:09)
Career journey (8:23)
People first in leadership style (23:19)

Bio

Hannah Pham is a seasoned data leader with experience building and scaling data teams at top tech companies like Airbnb and Pinterest. Hannah's expertise spans consumer and monetization domains. As the Head of Data Science for the consumer area at Pinterest, she leverages data to bring the best experience to Pinners and drive business growth. Hannah is also a successful startup founder with Skin AI, a personalized skincare company that she co-founded in 2018.

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Hannah Pham on Linkedin

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Chisoo Lyons on LinkedIn

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Next Episode

Navigating Curiosity to Leadership in Tech

Highlights

Vulnerability and honesty in leadership (12:07)
Finding leaders who are willing to take risks on talent (13:48)

Bio

Maritza is an engineering manager at Klaviyo, where she leads a team focused on creating tools that help marketers better understand and optimize their campaign and flow performance. She enjoys collaborating with her team to develop solutions that provide clear, actionable insights for users.

Before joining Klaviyo, Maritza worked at startups in the clinical trial management and natural language processing (NLP) sectors, where she gained experience in applying software to solve practical challenges. She began her career as a research assistant in a computational neuroimaging lab, where she was introduced to software development through the lab's open-source projects. This experience sparked her interest in using technology to address real-world problems.

Outside of work, Maritza enjoys knitting, though much of her time is happily spent caring for her 1- and 3-year-olds.

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Maritza Ebling on Linkedin

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Tina Tang on LinkedIn

Follow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)

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Apple Podcasts, Google Podcasts, Spotify, Stitcher