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OUR SPEAKERS
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Sivan Biham is a Computer Vision Researcher and Algorithm Developer. She currently works on healthcare-related products in the research team at Healthy.io.
Sivan holds an M.Sc. in computer science from Weizmann Institute with a specialization in Computer Vision and Deep Learning, and a B.Sc. in both Computer Science and Neuroscience from Bar Ilan University.
She is enthusiastic about using her algorithmic skills and knowledge for improving people's health and life. Sivan is also a technical blogger and public speaker. In her spare time, you can find her practicing yoga or run in a park.
Sivan Biham
Computer Vision Researcher
English, Hebrew
Languages:
Location:
Ramat Gan, Israel
Can also give an online talk/webinar
Paid only. Contact speaker for pricing!
MY TALKS
The Unspoken Relationship - Product Managers & Data Scientists
Data / AI / ML, Product, Soft Skills
Everyone talks about the relationship between product managers and the development team, but did you ever hear anyone talk about the relationship between product managers and the data science team? Maybe it’s time to start!
In this talk, Sivan will shed some light on this unspoken subject and explain what are the unique challenges of data scientist-product managers interactions. Drawing on her experience as an algorithm researcher in a product-oriented startup, and insights from working in a cross-platform team that includes product managers, developers, and data scientists, she will help you build a better product-data science relationship in your organization.
Quality Over Quantity - The Secret Behind Active Learning
Data / AI / ML
We all face the never-ending chase to collect more and more labeled data for training our models. What if the real story is not just the data volume, but its quality? What if I tell you that by collecting your labeled data wisely, you can not only use fewer data samples, which save time and money but also achieve equivalent or better performance levels? That's the secret of Active Learning.
In this talk, Sivan will present the Active Learning field. She will introduce the key concepts and how they can help you to improve your data collection process. As the active learning developer in her team, she will share tips for choosing a suitable active learning approach for your task.
Wounds Over Time - Tracking Wound Healing via 3D Models
Data / AI / ML
Measurement of changes to the area of chronic wounds over time is the cornerstone for wound management and assessment. In this Sivan will present a new framework to allow clinicians to visually track the healing progress over time. The presented framework artificially creates a consistent timeline from different visits of the same wound, where all views are shown at the same scale, location, and orientation. This framework receives as input a series of video scans and then outputs a consistent timeline of 2D projected images. The resulting timeline allows clinicians to visually monitor the wound healing process for the first time.
The Unspoken Relationship - Product Managers & Data Scientists
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Quality Over Quantity - The Secret Behind Active Learning
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Wounds Over Time - Tracking Wound Healing via 3D Models
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