<p>Paul Festor is a PhD candidate in computer science at Imperial college, London working on applying reinforcement learning to sepsis. He is passionate about bringing AI and machine learning to the healthcare industry and helping to save lives. In this session, we discuss many topics from ancient civilisations to the pursuit of science to his experience doing a PhD, digging deep during the COVID-19 pandemic, and finding perspective. He also talks about his experience about how we are just a few key actions away from amazing experiences. Tune in for a great session!</p><p>Research Group: <a href="https://faisallab.org/members/paul-festor">https://faisallab.org/members/paul-festor</a></p><p>Linkedin: <a href="https://www.linkedin.com/in/paul-festor/?originalSubdomain=uk">https://www.linkedin.com/in/paul-festor/?originalSubdomain=uk</a></p><p>Timestamps:</p><p>00:55 PhD Project</p><p>1:34 Sepsis</p><p>3:38 Reinforcement learning on data from ICU beds and sensors</p><p>5:06 Framing the reinforcement learning problem and difference with other machine learning methods</p><p>10:16 Gamification in healthcare</p><p>16:34 Sifting through ICU data</p><p>18:42 Motivation for the PhD</p><p>21:04 Pure and applied research</p><p>Imperial College Professor Eric Laithwaite on superconductors: Magnetic River 1975</p><p><a href="https://www.youtube.com/watch?v=OI_HFnNTfyU&amp;ab_channel=ImperialCollegeLondon">https://www.youtube.com/watch?v=OI_HFnNTfyU&amp;ab_channel=ImperialCollegeLondon</a></p><p>Professor Richard Feynman’s nanotechnology lecture: "There's P lenty of Room at the Bottom”</p><p><a href="https://www.youtube.com/watch?v=4eRCygdW--c&amp;ab_channel=MuonRay">https://www.youtube.com/watch?v=4eRCygdW--c&amp;ab_channel=MuonRay</a></p><p>25:04 Other technologies</p><p>27:47 Most difficult part of a PhD / low income SWE?</p><p>33:03 Trends in machine learning academia</p><p>38:19 Bringing value to the world through data science, AI, and software engineering</p><p>39:51 French Tertiary Education system</p><p>48:33 Learning Reinforcement Learning by reinforcement</p><p>49:32 Thoughts about ancient and modern civilisations</p><p>55:32 Nihilism and appreciation of the adventure of life</p><p>01:01:57 Doing a PhD, getting stuck, and finding perspective</p><p>01:15:58 AI news - Oxford Union debates ethics of AI with an AI</p><p><a href="https://www.bbc.co.uk/news/technology-59687236">https://www.bbc.co.uk/news/technology-59687236</a></p><p>01:24:14 Deepmind co-founder Mustafa Süleyman and Inflection AI on conversational AI</p><p><a href="https://techcrunch.com/2022/05/13/inflection-ai-led-by-linkedin-and-deepmind-co-founders-raises-225m-to-transform-computer-human-interactions/">https://techcrunch.com/2022/05/13/inflection-ai-led-by-linkedin-and-deepmind-co-founders-raises-225m-to-transform-computer-human-interactions/</a></p><p>01:27:58 AI on mobile devices, productivity, app development</p><p>01:37:05 Impact in science communication and making AI and data science more accessible to doctors</p><p>01:51:47 Quantifying uncertainty</p><p>01:56:02 Piano in stations worldwide and planting seeds</p><p><a href="https://www.ted.com/talks/dotan_negrin_searching_for_the_key_of_life">https://www.ted.com/talks/dotan_negrin_searching_for_the_key_of_life</a></p><p>02:05:48 Next steps</p><p>02:10:35 Where can people find your work and reach out to you?</p>