Categoría Podcast: Research

New podcast from Data Stand-Up! Jesus talks to Pablo Samuel Castro, Research Software Developer at Google. Pablo currently works a Research Software Developer for Google Brain in Montreal. His focus is mostly in reinforcement learning and machine learning applied to music and creativity.

In previous teams (Ads and Chrome) he focused on developing and applying large-scale machine learning solutions to difficult problems, addressing both theory and practice.

Specialties: Computer programming, Artificial Intelligence, Machine Learning, Music, Fully and Partially Observable Markov Decision Processes, Reinforcement Learning, Linear Programming.

In this episode, Jesús talks to Mihaela Rosca, Research Engineer at Deepmind. Previously she was a Software Engineer at Google Zurich, working on NLP using neural networks. She is a third year PhD student at UCL under the supervison of Prof. Marc Deisenroth and she finished her 4 year Computing MEng degree from Imperial College London in 2014, with first honours and a prize of excellence for an outstanding overall performance.

Her Professional Interests are: Generative models, reinforcement learning, natural language processing, scalable and safe machine learning. More broadly, she is interested in anything related to learning probability distributions.

Bedrock is a boutique Data Science & AI practitioner and our podcast “Data Stand-up” is aimed to spread scientific knowledge and technical expertise relating to our work with clients. All guests contribute to this knowledge exchange by also sharing their own experiences, learnings, and achievements.

Bedrock´s Jesus chats to Kirk Borne, Data and Artificial Intelligence pioneer, voted most influential personality in the industry, across the globe. Kirk has ranked Nº1 Digital, Data Science, and Artificial Intelligence influencer globally.

He holds a degree in Physics and Ph.D. in Astronomy, and from 1985 through 1995 worked at NASA’s Hubble Space Telescope (HST).

He has provided advice to NASA management in the design and development of HST systems and has extensively contributed to the international community promoting astrostatistics and astroinformatics as robust research disciplines.

In 2020, Kirk was elected Fellow of the American Astronomical Society for lifetime contributions to astronomy and the public’s understanding of the Universe.

In this episode, Kirk explains how to find business solutions through data and shares his views with Jesus on the most efficient ways to accelerate value creation and innovation with data technologies.

Listen to this episode to learn about his experience across dozens of advanced analytics use cases and business areas including customer engagement and behavioural analytics, risk mitigation, fraud detection, anomaly detection, and many more using machine learning, data management, graph analytics, predictive and prescriptive analytics, and geospatial-temporal modelling.