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Mansi is a Machine Learning Engineer at Twitter. Previously Mansi worked at LinkedIn after graduating from Carnegie Mellon University with a master’s degree in computational data science, where she studied software engineering and machine learning methods. Mansi honed her abilities as a Machine Learning Engineer for Petuum before moving on to Twitter as a Senior […]

Ola has attended numerous edX online courses to begin her journey into a profession in I.T. after completing her master’s in physics and Ph.D. in Theoretical Physics at the University of Warsaw. Ola’s extraordinary career growth has seen her rise from a Quantitative Analyst to a Senior Data Scientist at businesses like Smarkets and GM&T

Lucy works as a Software Engineer at Jigsaw, Alphabet’s product incubator focused on making the world a safer place. Lucy is a Conversation A.I. team member, developing machine learning technologies to detect and prevent online abuse. Her primary focus is on overcoming algorithmic prejudice and working with users to ensure that Conversation A.I. models accurately

Francesca is a computer vision researcher at CattleEye. Previously, Francesca worked for both Arthronica and Northwell Health. Francesca earned her master’s degree in engineering from Imperial College and her Ph.D. in biomedical engineering from UCL-London. Francesca is a lifelong learner constantly expanding her knowledge base via continuing education with classes offered by entities such as

Lois is a data scientist at Meta working in the data center supply chain. Since Lois’s initial job at iSpot, tv, focused her career on data science, gaining experience at Microsoft and Thinkful before joining Facebook in 2018. Lois focuses on the Messenger Core Experience, guaranteeing product success through sophisticated modeling, goal setting, analytics, testing,

Charlie is a well-known and respected data scientist currently working for Microsoft in the U.K. Charlie previously spent time with SwiftKey. This company is best known for predictive apps that learn from the user to enhance typing on touch screens quickly and efficiently. Charlie enjoys digging into data and understanding what data conveys and, importantly,

Shubhi is an N.L.P. Applied Scientist at Amazon Alexa. Shubhi has worked as an R&D Senior Systems Engineer, Research Analyst, and Applied Scientist for the Infosys, McKinsey & Company, and Amazon teams, respectively, for the last six years. Shubhi is well versed in machine learning statistics, Python, and Reinforcement Learning. At Amazon Alexa, Shubhi models

Danah has spent the last 11 years at Microsoft, where she has focused her research on data quality and fairness, machine learning transparency, differential privacy, and platform responsibility. Danah’s work addresses today’s social and cultural disparities by recognizing the link between technology and society. The Data & Society Research Institute strives to identify and battle

Anusha is a Senior Researcher for Microsoft. She presently works on Conversational A.I. Anusha studied computer science at Columbia, where she obtained a degree in Computer Science, then received her master’s degree in the same field from Stanford University. Upon graduation, Anusha went to work for Apple as a Machine Learning and Natural Language Engineer.

Flora is the Head of A.I. Research at Streem and the co-founder of the A.R. startup Selerio. Possessing degrees from Rhodes University, Cape Town, and Cambridge University, Flora enjoys a solid academic background in technology; she has a BSc in Computer Science, MSc Computer Science, and Ph.D. Computer Science from these respective institutions. Her work

Cassie is the Chief Decision Scientist at Google and a statistician in the Research and Machine Intelligence division. Cassie aims to bring decision intelligence and safe, dependable A.I. to the masses. Cassie moved from her job as a Statistician to Chief Decision Scientist, where she works as a thought leader in Decision Intelligence, merging Data

Tahmida Mahmud is an Engineering Manager at Nauto, leading the Perception team. Her team develops AI-based algorithms focused on critical external safety features (ADAS) and driver monitoring systems (DMS) for automotive fleets. Tahmida received her Masters and Ph.D. in Electrical Engineering from the University of California, Riverside, focusing on computer vision and machine learning. She