Dr. Dana Krepel Zussman

MSD Animal Health Technology Labs
From Farm to Tablet: Developing an ML-Based Health Monitoring Solution for Animals
Dr Dana Krepel Zussman

Bio

Dana is the data science team leader at MSD. She applies her multidisciplinary background and over 10 years of experience in medical research and biological data to build and deploy machine learning models that solve complex problems and generate insights for the healthcare industry. She has a Ph.D. in chemical physics, did her Postdoctoral research in bioinformatics, and possesses multiple skills in applied machine learning, data analysis, high-performance computing, and statistical modeling. Her mission is to leverage data science to advance animal and human health, and to share her knowledge and enthusiasm with others.

Abstract

“MSD is the leading company in the world of animal monitoring. From pets to farm animals, even fish – our products and platforms use AI to identify trends and predict the likelihood of health outcomes of HUNDREDS of MILLIONS of animals each year and provide actionable insights for veterinarians, farmers, and producers, with products available in 150 markets.

In this engaging discussion, we will explore the multifaceted landscape of animal monitoring, shedding light on its primary objectives, intricate nuances, and the essential interdisciplinary collaborations vital for success.

Key Complexities Explored:

Collecting Ground Truth for Algorithm Training and Testing: Uncover the challenges and strategies involved in gathering accurate ground truth data, a pivotal aspect for training and testing algorithms effectively.

Multi-disciplinary Team Dynamics: Delve into the complexities of managing a diverse team that includes data scientists, veterinarians, and field experts. Understand how the harmonious integration of these varied expertise areas is crucial for navigating the intricacies of animal monitoring successfully.

Join us as we navigate through the intricacies of algorithms, tag mechanisms, and the collaborative efforts required to shape the ever-evolving landscape of animal monitoring.”

Agenda

8:45 Reception
9:30 Opening remarks by WiDS TLV ambassadors Noah Eyal Altman, Or Basson, and Nitzan Gado
9:45 Dr. Aya Soffer, IBM: "Putting Generative AI to Work: What Have We Learned So Far?"
10:15 Prof. Reut Tsarfaty, Bar-llan University: "Will Hebrew Speakers Be Able to Use Generative AI in Their Native Tongue?"
10:45 Break
11:00 Lightning talks
12:20 Lunch & poster session
13:20 Roundtable session & poster session
14:05 Roundtable closing
14:20 Break
14:30 Dr. Orna Amir & Hila Kantor, Google: "A User-Centric Framework for Quantifying Notification Harm"
14:50 Naomi Ken Korem, Lightricks: "Mastering the Art of Generative Models: Training and Controlling Text-to-Video Models"
15:10 Dr. Yael Mathov, Intuit: "Surviving the AI-pocalypse: Your Guide to LLM Security"
15:30 Closing remarks
15:40 The end

WiDS TLV important update

Dear WiDS TLV attendees,

In light of recent developments, we regret to inform you that the WIDS TLV 2024 event scheduled for tomorrow has been postponed to June 3rd, 2024. We apologize for this last-minute change and look forward to seeing all of you on June 3rd.