View Object Automation’s profile on LinkedIn, the world's largest professional community. is the creator and "Benevolent Dictator for Life" (BDFL) of the open-source, , and has also authored two versions of the reference book, . One is a short form podcast where Kyle explains complex data science concepts in a way that non-data scientists can understand. He is a leader in data science, specializing in deep learning and distributed scalable machine learning, and he’s also a faculty member at, Mike has led several teams of Data Scientists in the San Francisco Bay Area as Chief Data Scientist for, , where he oversaw all data science product development. Professor of Computer Science, Stanford University. [10:22] How can you distinguish signal from noise in choosing a news source? Kyle’s approach to teaching complex subject matter for entry level comprehension. He and Sivan first started working together at the Climate Corporation, where he was the VP of Science and Director of Data Science, leading the implementation of large scale statistical machine learning within numerous domains, including climatology, agronomic modeling and geo-spatial applications. [48:30] Techniques that can be used by individuals and organizations to identify and address ethical issues in a company. View Akanro Timmy’s profile on LinkedIn, the world’s largest professional community. degrees in Mathematics and Electrical Engineering from. and M.S. 52:27 Mike’s advice to his 20 year old self. The book is published by Cambridge Univ. Quite interestingly, Sivan began her career in the Israeli army, serving as an instructor for an anti-tank missile unit. [3:55] Laura explains how she produces the. In this interview, we explore how philosophy and nudge theory can be applied to change human behavior using data science. 52:40 What was his best investment in himself? At 26 years old she moved to the U.S. to complete a PhD degree in Statistics from The Wharton Business School at the University of Pennsylvania. : a software company best known for the early development and maintenance of the, : all invaluable open-source Python libraries, Before founding Continuum Analytics (later renamed to Anaconda) in 2012, Travis received a Ph.D. from the, , B.S. What Emily and her team at Coursera have discovered about the learning process and the confidence gap among learners. See the complete profile on LinkedIn and discover Greta’s connections and jobs at similar companies. Search Search. Jure Leskovec Chief Scientist at Pinterest, Professor at Stanford. The book is published by Cambridge Univ. Show Notes: https://ajgoldstein.com/podcast/ep10/, Jure’s Twitter: https://twitter.com/jure?lang=en, AJ’s Twitter: https://twitter.com/ajgoldstein393/. Before arriving at DIRAC, she has studied space & data science as a: Show Notes: https://ajgoldstein.com/podcast/ep9/, Daniela’s Website: http://huppenkothen.org/, Daniela’s LinkedIn: https://www.linkedin.com/in/daniela-huppenkothen-0b44a97b/. [38:43] What can you do to train your Spotify recommendations? Where he sees the job of a data scientist (who knows what), ending, and a subject matter expert (who knows why), beginning. https://www.linkedin.com/in/jim-guszcza-5330375/. Data mining Machine Learning Graph Neural Networks Knowledge Graphs Complex Networks. Jan Robberts. [21:00] About learning enough German to complete a PhP programming internship in Munich. Jure originally arrived at Pinterest in 2014 when his company, Kosei, was acquired after starting a “recommendation revolution” through smarter, personalized mobile ads. 6:17 Emotions often win over rational though, but as a result, it can be difficult to think clearly on issues we’re passionate about. View Hen Turgeman’s profile on LinkedIn, the world's largest professional community. [31:40] Why is solving basic efficiency problems, like reading CSV files. There are 200+ professionals named "Leskovec", who use LinkedIn to exchange information, ideas, and opportunities. Apache Spark) and deep learning (e.g. 12:45 How can we tackle “fake news” without censorship? Dr. Norén is a champion of open source software and those who write it. [39:00] The importance of seeing peers in an open source project as people with good intentions and more than just a GitHub profile. Follow Published on Aug 27, 2014. How the Data Skeptic podcast became the only podcast to be endorsed by the Pope. Jure Leskovec Chief Scientist at Pinterest, Professor at Stanford Stanford, CA. of j linking to a previous node i is proportional to degree d i of node i 11/2/16 Jure Leskovec, Stanford CS224W: … Stanford, California 94305 United States of America ... LinkedIn: LinkedIn Instagram: Instagram Twitter: Twitter Newsletter: Subscribe. Jure Leskovec. See the complete profile on LinkedIn and discover Akanro’s connections and jobs at similar companies. Laura Noren is a data science ethicist and researcher currently working in cybersecurity at Obsidian Security in Newport Beach. The second format is a long form interview format where Kyle interviews experts in various data science and skepticism related arenas about their work. Researchers mapped people's movements based on cellphone data to study the spread of the coronavirus. See the complete profile on LinkedIn and discover Hen’s connections and jobs at similar companies. to view the “nutrition facts” of the page you’re reading. KDD is a premier ... Data Scientist at LinkedIn at LinkedIn. Advice for listeners who are considering starting their own podcasts, colored by lessons Kyle has learned in his tenure. MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. 9:10 What mechanisms can we put in place to counterbalance the parts of our nature that compel us to create and engage with content on an emotional level? They enable data scientists and social changemakers to address tough humanitarian challenges together, ranging from education to poverty, health to human rights, and the environment to cities. [7:35] What is it like to be in a branch of data science that has become so closely tied with industry and well understood by the public? He tells about some of the methods he used during his dissertation, and I ask him for insight on how to get a recommender system to recommend stuff that you actually like. Emily received her Bachelor's’ degree in Economics from Princeton University, and then moved on to complete her Ph.D. in Economics from Harvard University. In my conversation with Wes today, we focused on getting to know Wes on a more personal level, discussing his background and interests to get some insight into the living legend of open source he has become. Afterwards, she transitioned to school and received her undergraduate degree in Industrial Engineering and a Master in Statistics from the Technion Israel Institute of Technology. See the complete profile on LinkedIn and discover Nino’s connections and jobs at similar companies. Jure Leskovec. How teaching math to inmates at San Quentin State Prison for 2 years catalyzed his path to the World Resources Institute and NASA. [3:17] What came first for Brian, the data science or the music? When Jure … ... Jure Leskovec. [22:04] How ethics affects the field of data science, specifically. We covered a ton of different topics, including: Show Notes: https://ajgoldstein.com/podcast/ep6/, Andrew’s LinkedIn: https://twitter.com/AndrewYNg. For years he’s been contributing to the data science world through so many different outlets: Our conversation went many places, including: Show Notes: https://ajgoldstein.com/podcast/ep8/, Chris’ Twitter: https://twitter.com/chrisalbon. [16:10] Sociology in the context of people who build, since people are the *actual* most complicated systems. leads a team of data scientists focused on advancing Dun & Bradstreet's core capabilities and IP globally. I am Associate Professor of Computer Science at Stanford University, Chief Scientist at Pinterest, and investigator at Chan Zuckerberg Biohub. Search for Jure Leskovec's work. [16:10] Wes’s high school career as a mathlete, and how an early interest in math contributed to his approach to programming. It is certainly The open-source community’s recent shift “away from ‘local co-op’ and toward ‘big agriculture’”, the challenges Travis is seeing pop-up, The story behind how he first wrote the Numpy library (all by himself!) Mike began his career in academia serving as a mathematics teaching fellow for Columbia University and graduate student at the University of Pittsburgh. The group provides efficient and sustainable solutions to customers and suppliers through best-in-class products, market leading innovation, operational excellence and outstanding service. Wes is also one of the co-creators of the Apache Arrow project, which is currently his main focus. Four recent examples include: This conversation was recorded in-person with Andrew in his office on Stanford’s campus in Palo Alto, California. Emory University, Atlanta, GA, USA, Aditya Pal With extensive background in advanced algorithms and linguistics, he holds multiple patents and presents globally on data and technology trends, multilingual challenges in business identity, and artificial intelligence. - providing some of best (and definitely most wide-ranging) technical notes out there on machine learning, statistics, deep learning, Python, and so much more. How she uses analytics to identify ways to improve the learning experience and provide high quality education worldwide. Cynda Dunkley Managing Director at Executive Search Myanmar Greater Perth Area. Explore our catalog of online degrees, certificates, Specializations, & MOOCs in data science, computer science, business, health, … An economist by training, Emily loves using data to build better, smarter products that have a positive impact on society. My general research area is applied machine learning and data science for large interconnected systems. ... Linkedin; The ACM Digital Library is … In addition to his work with Deloitte, Jim is also an author and former professor at the University of Wisconsin-Madison business school. Stanford, CA. Ishani Sharma. Jure Leskovec. See the complete profile on LinkedIn and discover Thirikhine’s connections and jobs at similar companies. Previously, he was a postdoctoral research scholar in the Center for Jazz Studies and LabROSA at Columbia University. [38:53] How can smaller companies who can’t afford a Chief Ethics Officer monitor and address ethical issues? He has served in various executive roles throughout his career and has over 30 years of leadership experience. He describes himself as a problem-solver, and is particularly interested in improving the usability of data tools for programmers, accelerating data access and in-memory data processing performance, and improving data system interoperability. Our group has several open research positions: commentary by Kevin Ma and Marc Lipsitch. - a popular podcast mixing explorations into data science techniques with discussions in the field’s leading experts. As of Fall, 2014, he is a data science fellow at the Center for Data Science at New York University. I also obtained a Master's degree in Statistics from Stanford University and a Bachelor's degree in Electrical Engineering from Seoul National University. [12:13] When and how to control your biases in your work when in the heat of the moment. He studied computer science and focused on artificial intelligence in grad school. Jure has 3 jobs listed on their profile. Eric Seyram A. Eric Seyram A. Emily Glassberg Sands is the Head of Data Science at Coursera - the largest online learning platform for higher education with 35M learners from around the world. Nahla Hussein. [31:40] How can companies strike a balance between hard stops in a product and more negotiated unique messaging for customers to address ethical employees? [21:06] Why does the concept of genre generally irritate Brian, and what is the “David Bowie problem?”. This includes recommender systems, image and audio analysis, similarity learning, cross-modal feature integration, and automatic annotation. How growing up a sci-fi fan led Jim to pursue science and philosophy as a career. Leskovec's research focuses on the analyzing and modeling of large social and information networks as the study of phenomena across the social, technological, and natural worlds. . He blends a futurist perspective with a pragmatic, actionable approach, leveraging horizon scanning and storytelling to see possible futures and drive foresight into leadership deliberation. Data mining Machine Learning Graph Neural Networks Knowledge Graphs Complex Networks. Greta has 1 job listed on their profile. , and spent nearly a decade thereafter as an Assistant Professor of Electrical and Computer Engineering at BYU before phasing out of academia to focus on creating open-source software to support industry. What patterns and lessons Kyle has taken from interviewing nearly 400 guests on his show over the last four years. [25:00] What went into his decision to take leave from grad school to build Pandas? Linkedin. Nahla Hussein. Now I am a senior applied research scientist at LinkedIn Jure Leskovec. 40:34 What techniques were used to train the Walt AI? Mike Tamir is the Head of Data Science at Uber ATG. Carl Yang. Here are some of the highlights of the show: Find more at www.ajgoldstein.com/podcast/ep24. Shubhi Tripathi. Risultano 3.400+ professionisti il cui nome è “Jure” che utilizzano LinkedIn per scambiare informazioni, idee e … Some highlights include: Show Notes: https://ajgoldstein.com/podcast/ep16/, Jim’s LinkedIn: https://www.linkedin.com/in/jim-guszcza-5330375/. , home to a diverse team of researchers in astrophysics and cosmology. I am Associate Professor of Computer Science at Stanford University, Chief Scientist at Pinterest, and investigator at Chan Zuckerberg Biohub. [42:33] How do you make the career decision whether to stay in academia vs. go into industry? [12:00] Brian gives a brief history of the field of music informatics. Prior to NASA, Hammer was the Chief Data Scientist at the, , an open-source project to monitor deforestation, After graduating from Swarthmore College in 2007 with high honors in mathematics and economics, and before receiving his PhD in environmental economics from the, . Jure Leskovec. Jure Leskovec, Professor. Currently he serves as a National Geographic Fellow and the co-founder of, , and throughout 2016, he was the Senior Policy Advisor to the U.S. Chief Technology Officer, Before arriving at the White House, Dan was the, that released the first API listing for NASA. Choose from hundreds of free courses or pay to earn a Course or Specialization Certificate. develops machine learning tools to analyze multimedia data. is a data science ethicist and researcher currently working in cybersecurity at Obsidian Security in Newport Beach. This research required applying the advanced machine learning into graph data such as social networks. Jure Leskovec Stanford University jure@cs.stanford.edu Mitul Tiwari LinkedIn Corporation mtiwari@linkedin.com ABSTRACT ... LinkedIn, but they can only use one of them to sign up—therefore, there is no ambiguity in which member is the parent. : a company that bridges open-source communities and innovative companies by growing talent, building technology, and discovering new products. Can we keep our flaws out of artificial intelligence and its decision-making? - the largest online learning platform for higher education with 35M learners from around the world. How Frank became so interested in educating the public as a futurist through his early career. 45:30 What makes it difficult to use the wisdom of the crowds when answers are too closely correlated (because of political affiliations or the news cycle?). It is certainly The Data Skeptic Podcast features conversations on topics related to data science, statistics, machine learning, and artificial intelligence. - where his research focuses on mining and modeling large social and information networks, including relationship graphs and chain effects in online community settings, - a multidisciplinary research organization on a mission to make all diseases preventable, manageable or curable by the year 2100, How being Pinterest’s Chief Data Scientist has affected his own social media use, The story behind how he went from party conversation about Kosei to company acquisition by Pinterest in just 2 months, How Pinterest makes recommendations to it’s users and thinks about the explore vs. exploit tradeoff of social media ads, Moral considerations of echo chambers/filter bubbles/confirmation bias that he and his team take into account when serving Pinterest’s 200+ million users content each day, Balancing short and long-term benefits at the individual (value to user), community (health of the content ecosystem), & company (ad revenue) level, Recent research from Harvard, Stanford, UChicago, & Cornell investigating how machine learning can help criminal court judges make high-stake decisions. After graduating from Swarthmore College in 2007 with high honors in mathematics and economics, and before receiving his PhD in environmental economics from the University of California, Berkeley, Dan was a Thomas J. Watson Fellow and traveled to Polynesia to build and race outrigger canoes. Jaewon Yang LinkedIn Verified email at cs.stanford.edu. View Jure Leskovec’s profile on LinkedIn, the world’s largest professional community. Jure Leskovec Chief Scientist at Pinterest, Professor at Stanford. 53:20 Mike, like lots of guests on this show, makes a distinction between things he believes but couldn’t prove right now, and believing things for no good reason. Satire, journalism, etc. Before starting Alluvium in 2015, Drew helped start: After starting the conversation by exploring Drew’s early years, we focused most of the dialogue around his (quite frankly, brilliant) thought process around identifying the highest-impact, most-needed applications for data science across problem spaces. Cynda Dunkley. Dr.Ashwin Gajra. ... Jure Leskovec. [23:00] How Wes’s experience using data in his first year working post-undergrad set him down the path to Pandas. and M.S. The podcast breaks down into two different episode formats. neural networks), https://www.linkedin.com/in/faviovazquez/, How a misalignment of his problem solving approach with standard consulting frameworks at BCG led him to Wayfair. Meenal Choyal HR at Paytm Payments Bank New Delhi. In this episode of the Data Journeys Podcast, I pick Kyle’s brain for patterns noticed and lessons learned through interviewing and teaching his way through nearly 400 episodes of the Data Skeptic Podcast. A strong ability to connect dots enables the identification of future scenarios quickly and broadly, with an ability to see implications years into the future. Sivan Aldor-Noiman and Erik Andrejko join me from Wellio: an intelligent platform that uses machine learning and behavioral science to help people plan, shop, prepare and enjoy healthy meals at home. Nino has 1 job listed on their profile. [26:20] How do you address the problem of subjectivity in the field when conducting research? If you enjoyed this episode of Data Journeys, the best way to support the show is by leaving a. and sharing on your social medias using the hashtag #datajourneys. Structure and Dynam-ics of Information Pathways in Online Media. View Object Automation’s profile on LinkedIn, the world's largest professional community. [5:19] Of all the things he could have chose to study, why did Brian choose music? Anthony Scriffignano is the Chief Data Scientist at Dun & Bradstreet: a publicly traded company that provides commercial data, analytics and insights about businesses through their database of more than 290 million business records worldwide. Mike has led several teams of Data Scientists in the San Francisco Bay Area as Chief Data Scientist for InterTrust and Formation, Director of Data Sciences for MetaScale, and Chief Science Officer for Galvanize, where he oversaw all data science product development. [49:00] What major life lessons can be taken away from work in machine learning? Hay 3.600+ profesionales con el nombre de «Jure &» que usan LinkedIn para intercambiar información, ideas y oportunidades. His early research focused on developing the epsilon-anchor methodology for resolving both an inconsistency he highlighted in the dynamics of Einstein’s general relativity theory and the convergence of “large N” Monte Carlo simulations in Statistical Mechanics’ universality models of criticality phenomena. As of Fall, 2014, he is a data science fellow at the Center for Data Science at New York University. How the shift to an automated society might cause initial elimination of jobs, but ultimately will allow more time for pursuit of creative, entrepreneurial endeavors. Nino has 1 job listed on their profile. [25:35] The data science ethicist as person who is a creator, and not just there to put up stop signs. Addressing some of the common fears that people have about the implications of advanced AI and robotics on the future. https://www.linkedin.com/in/kyle-polich-5047193. 16:40 Post-Walter Cronkite era, how do we create a sense of credibility and neutrality in our information? 9:51 Since a majority of our information is second-hand, how do we distingush what’s really true? Some of my favorite talking points included: Show Notes: https://ajgoldstein.com/podcast/ep14/, Drew’s LinkedIn: https://www.linkedin.com/in/drew-conway-13b5b013/. Addressing the two tipping points that have occurred thus far in humanity and changed what it means to be human-- and the coming third tipping point. Drew Conway is a world-renowned data scientist, entrepreneur, author, and speaker, perhaps most well-known for his infamous 2010 “Data Science Venn Diagram”. Dan Wulin is the Director of Data Science at Wayfair: an international e-commerce company specializing in home goods. Press, but by arrangement with … Jure Leskovec Chief Scientist at Pinterest, Professor at Stanford Stanford, CA. Before arriving at the White House, Dan was the Presidential Innovation Fellow that released the first API listing for NASA.
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