Our guest today is a Physicist, Data Scientist, and TV host.
Through sheer force of passion, persistence, and perseverance she became the first Mexican woman to graduate with a Physics Ph.D. from Stanford University, where she studied under Nobel laureate Steven Chu - and she accomplished this despite growing up in a conservative community that discouraged young women from studying or pursuing careers in science.
By leveraging her expertise in scientific research and advanced analysis she has helped many organizations automate their decision-making process and uncover patterns in large amounts of data and has cultivated a specialty in drawing connections between the approaches used in data science and the challenges faced by organizations.
She’s the Chief Data Scientist at Metis, where she leads the creation and growth of exceptional data science training opportunities such as bootcamps, corporate training, professional development as well as live online programs; all while also developing a world-class data science instructional team.
She’s also the co-host of Discovery Channel’s Outrageous Acts of Science TV show and co-star of the TV show Humanly Impossible produced by the National Geographic channel.
She’s taken her STEM outreach initiatives globally empowering and encouraging women in places like India, Israel, Mexico and Costa Rica, and her work has been recognized by the likes of Wall Street Journal, Oprah, Dr. Oz, CNN, TED, DLD, and WIRED magazine.
So please, help me in welcoming our guest today - a woman whose passion it is to inspire young women and minorities to pursue careers in STEM, to think deeply, to be bold, and to help others - Dr. Deborah Berebichez!
June 15th, 2020 | Season 2 | 1 hr 6 mins
ai, data science, diversity, equity, grit, growth mindset, journey, machine learning, math, passion, persistence, statistics, women in tech
On this episode we speak with Dr. Deborah Berebichez! Chief Data Scientist at Metis and host of Outrageous Acts of Science and Humanly Impossible. We talk about her path into data science, the struggles she faced in her career, and