Natalie Evans Harris | Creating A Shared Code Of Ethics To Guide Ethical and Responsible Use of Data

Shir Meir Lador, is a longtime AI leader whose career spans startups in Tel Aviv, leadership at Intuit, and now Google, where she heads efforts to amplify AI on Google Cloud. Shir shares her journey from machine learning researcher to global AI leader, reflecting on pivotal career moves, including relocating to the U.S. with her family and embracing new leadership opportunities. Shir offers candid insights on taking career risks, navigating imposter syndrome, and finding balance as a mother of three while advancing in AI leadership. She discusses her impactful work as a WiDS ambassador in Tel Aviv, where she built a thriving women-led technical community that inspired more female speakers in data science conferences worldwide.

This podcast episode features Sohini Sarkar, Principal Product Manager and Senior Team Lead at MathWorks, discussing her career journey and offering advice to listeners. The conversation explores her transition from academia to the corporate world, her passion for product management, and her approach to balancing technical expertise with leadership responsibilities. Sohini's career path highlights the importance of self-discovery and the willingness to deviate from predetermined expectations.

Claudia Perlich, a leading expert in predictive modeling shares about her work and views on the challenges of using AI and machine learning systems. Perlich discusses the importance of understanding the uncertainty and biases inherent in these models, and the need for careful evaluation and testing before deploying them, especially in high-stakes domains. She emphasizes the collective responsibility of data scientists, domain experts, and decision-makers to ensure these systems are used responsibly and equitably. She also shares insights on the skills and mindset needed for a successful career in predictive modeling, highlighting the value of data curiosity, scientific thinking, and effective communication.

In this episode, we chat with Maritza Ebling, a seasoned software engineer and leader, about her unconventional journey from a theoretical math and neuroscience major at Wesleyan University to leading teams in the tech industry. Maritza reflects on how her curiosity and passion for problem-solving guided her career path, starting with computational neuroscience work at Mass General Hospital, where she discovered her love for software engineering.

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.