Women in AI

Julia Romero is the lead for Actuarial Engineering and Advanced Modeling at Haven Life, an online life insurance agency that’s backed and wholly owned by MassMutual. At Haven Life, Julia is focused on integrating and applying data science and other analytics models to drive innovation in actuarial technology. Julia joined us on our Women in AI podcast in New York to discuss her current works and what she is looking forward to in 2020!

Holder of a Ph.D. in Management Science (in risks and insurance management) from École Normale Supérieure de Cachan (France), Nathalie de Marcellis-Warin is Full Professor at Polytechnique Montreal, Department of Mathematics and Industrial Engineering. She is President and Chief Executive Officer at CIRANO, an interuniversity centre of research, liaison and transfer of knowledge on Public Policy and Risk Management. In this episode, Nathalie discussed her start in AI, where her passions comes from and current projects she is working on. Meet with fellow Women in STEM at one of our Women in AI Dinners which is returning to London on November 12th!

At Uber ATG R&D centre, Inmar is working on advanced state-of-the-art AI models for solving a large range of problems in self driving - perception and prediction, motion planning, mapping and localization, sensor simulation, and more. All that work is publicly available through academic conferences and venues, however, we wanted to get a little more info on some of her work which she explains in greater detail in this podcast! Meet with fellow Women in STEM at one of our Women in AI Dinners which is returning to London on November 12th!

Tola cites her story as a special one. Having initially been interested in maths and completing her degree at Queen Mary University of London earning a first-class degree, Tola went on to a career in Data Analytics, only later discovering Data Science when backpacking in Australia. Through conversations with a client when working her gap year, Tola was able to see that her degree in maths massively overlapped with the role of a Data Scientist. Tola further explains her journey in Data Science on this podcast, which was recorded at the Deep Learning Summit in London earlier this year. Meet with fellow Women in STEM at one of our Women in AI Dinners which is returning to London on November 12th!

Originally from India, Roshini started her AI journey by volunteering at the Indian Space Research organization and from there, found that her direction was headed for robotics. Having studied her masters degree at Edinburgh University, she graduated to work in a field that was very much still being built. Roshini is currently working at HSBC int he global banking and markets division, understanding business problems and translating them into Machine Learning projects. This podcast was recorded at the Deep Learning Summit in London 2019. Hear more from those at the forefront of the industry in Finance at the AI in Finance Summit in London next year. See more on the summit here - https://www.re-work.co/events/deep-learning-in-finance-summit-london-2020

Brigitte is Head of Product Impact at Google.org, where she leads initiatives that leverage emerging technologies and Google’s expertise to address global challenges. She is currently focused on how AI can be used for social impact through efforts like the $25M Google AI Impact Challenge. She previously lead programs focused on how technology can improve global education, innovation for people with disabilities, and crisis response.

Sarah is particularly interested in emerging technology’s impact on public policy, human well-being, and the economy. Motivated by both the potential benefits technology offers to governments and civil society, and concerns of fairness, accountability and inclusivity, she seeks to contribute to critical conversations surrounding the development and adoption of technology in public life.

As Director of AI for Humanity, Myriam's goal is to put into actions, Mila’s humanitarian mission in collaboration with both our partners of the local ecosystem and our international allies, by promoting an ethical and socially responsible usage of AI.

The typical translation devices for people who use ASL are gloves that aren't very accurate. The gloves tend to be inaccurate because the translation doesn't only come from peoples' hand gestures, it also comes from their body language, but the gloves don't account for that. However, the even bigger issue with these gloves is that many people can't afford them. Each glove is around $1,500. Katheriene helped create a translation device for people who use ASL. Katherine was part of the Rising Stars session at the Applied AI Summit in San Francisco, and we will be hosting similar sessions in London this September. Take a look at the event here to register and learn from the next generation of AI experts https://bit.ly/2R3Ik5L.

Wildlife poaching is a serious threat, and one of the largest illegal industries in the world. Historic data on ranger patrolling and detecting illegal poaching incidents can be leveraged to train ML models. Bistra is working on these predictive ML models for poaching risk and explains in this episode how they have been shown to effective in Field studies in 3 different protected areas.

Marvelous.ai is developing natural language tools to analyze political discourse in news and social media . Danielle is particularly focused on how messaging spreads, both negatively (propaganda) and positively (pro-democracy campaigns). In this interview, she chats with OMGitsfirefoxx about her approach to detecting political narratives utilizing human-in-the-loop alongside other natural language processing techniques, with examples focused on the 2020 US presidential election.

Kate Taylor, a high school student and AI4ALL project member is joining us today to share her work in this area. Kate presented her work in the area in our rising stars session in Boston earlier this year. AI4ALL is an amazing project encouraging the next generation of experts to explore all areas of AI. Ellie, from the RE•WORK team spoke with Kate about her presentation and some of the things she’s learned throughout her time at AI4ALL. Kate also shares some of the challenges she’s working on, as well as her long term goals.

Neva is the chief computational scientist at Aiden lab at Baylor College of Medicine where she creates analysis and visualisation software of assays exploring how DNA folds in three dimensions. Neva explains how although there have been some huge breakthroughs in healthcare with AI, the promised revolution in medicine is yet to come as there is still so much we don’t know about how DNA regulates cell function. Hear how Neva is working with Deep Learning to bring us closer to AI-powered medicine.

Artificial intelligence has the power to unlock the secrets of gene expression. Using deep learning, the wealth of genomic information that is being created can be understood and used to improve healthcare, drug discovery, and develop new cures. Gracelyn will talk about how deep learning can be used to analyze genetic data and demo her project related to predicting transcription factor-DNA binding. She will also talk about the implications of using deep learning to extract meaningful conclusions from genetic data and what it will mean for the future of the genomics industry.

CEO and Co-Founder of Affectiva joins us on the Podcast today to discuss her work in emotionally intelligent AI where we discuss how it can be used in a variety of areas such as treating people with autism, as well as there being commercial opportunities in social robotics and other areas. Rana was interviewed by Gracelyn Shi from the knowledge society, who asked some fantastic questions about some of Rana’s goals, challenges, ethical concerns, and how she’s inspiring women in AI.