Full Name
Monica Rogati
Job Title
Data Science & AI Advisor
Company
Independent
Speaker Bio
Monica Rogati (@mrogati) is an independent data science executive and advisor. She built key data products and teams at Jawbone and LinkedIn; she now helps companies make the most out of their data.
As the VP of Data, Monica built Jawbone’s data science and engineering team, focusing on developing data products that helped millions lead healthier lives. Her team also analyzed Jawbone’s wearable data to derive novel insights about sleep, movement and food, then turned these insights into smart product features, compelling data stories and interactive visualizations.
At LinkedIn, Monica was one of the early members of the data science team. She developed LinkedIn’s key data products for job matching and recommendations, and she doubled the effectiveness of the “people you may know” machine learning algorithm that drives the growth of LinkedIn’s connection graph.
Monica’s data stories have been published in the Wall Street Journal, New York Times, Time, NPR, and CNN. Fast Company recognized her as one of the 100 most creative people in business, and Fortune named her as one of the Big Data All-Stars.
Monica has a Ph.D. in Computer Science from Carnegie Mellon, where she focused on text mining and machine learning. She has published numerous academic papers in top-tier journals conferences, but is now focused on applied data science. Monica is an equity partner at Data Collective, an early-stage venture capital fund that backs entrepreneurs applying deep tech to transform giant industries.
As the VP of Data, Monica built Jawbone’s data science and engineering team, focusing on developing data products that helped millions lead healthier lives. Her team also analyzed Jawbone’s wearable data to derive novel insights about sleep, movement and food, then turned these insights into smart product features, compelling data stories and interactive visualizations.
At LinkedIn, Monica was one of the early members of the data science team. She developed LinkedIn’s key data products for job matching and recommendations, and she doubled the effectiveness of the “people you may know” machine learning algorithm that drives the growth of LinkedIn’s connection graph.
Monica’s data stories have been published in the Wall Street Journal, New York Times, Time, NPR, and CNN. Fast Company recognized her as one of the 100 most creative people in business, and Fortune named her as one of the Big Data All-Stars.
Monica has a Ph.D. in Computer Science from Carnegie Mellon, where she focused on text mining and machine learning. She has published numerous academic papers in top-tier journals conferences, but is now focused on applied data science. Monica is an equity partner at Data Collective, an early-stage venture capital fund that backs entrepreneurs applying deep tech to transform giant industries.