October 10th, 2021
Taylor Scott is an assistant teaching professor at the department of cognitive science at UCSD, where he is focused on teaching human-computer interaction and design-related courses (such as The Consequences of Technology, Cognitive Perspectives, Information Visualization, and more). We’ll be talking to him about his current work at UCSD, his prior work at The University of Washington in Seattle, how he utilizes data science in his work, and tips for students.
October 16th, 2020
DS3 Forum is a new series featuring specialized talks on Data Science in certain domains. With our transition to a remote environment, we see a new rise of data privacy concerns and evaluation, and wanted our first panel to be centered on the moral issues surrounding data, featuring Emily LaRosa, Stuart Geiger, Jacob Sparks, and Aaron Fraenkel.
September 21st, 2020
For our ninth podcast episode, we are joined by the UCSD Library’s Data Science Librarian, Stephanie Labou. We begin by discussing with Stephanie about her practices as a Data Science Librarian, a seemingly unique job. She assists students with data acquisition and analysis while co-managing Geisel Libary’s Data and GIS Lab. She also engages in teaching through workshops in basic coding, data architecture, and software tools. Throughout this episode, we gather insights from Labou about the Library as a valuable resource for Data Scientists, and tips on producing practical Data Science projects. In the end, she helps students navigate through deciding on using public or private datasets.
August 2nd, 2020
Justin Eldridge is an Assistant Teaching Data Science Professor at UCSD, and has taught DSC 10 Principles of Data Science, DSC 40A Theoretical Foundations of Data Science I, and DSC 40B Theoretical Foundations of Data Science II. In this podcast episode, Justin recounts his undeviating journey into academia and offers advice to students pursuing a potential double major or project.
August 2nd, 2020
Andy White is a startup advocate with a trail of fruitful endeavors: he was the founding partner of VegasTechFund, is the head of startup operations at Keshif Ventures and a board member at Data Science Alliance. In this episode, Andy offers an entrepreneurial lens to Data Science and advice to students interested in building a Data Science startup.
June 22nd, 2020
Bradley Voytek is an Associate Professor of Cognitive Science, Data Science, and the Neurosciences Graduate Program at UCSD, as well as the co-author of Do Zombies Dream of Undead Sheep? A Neuroscientific View of the Zombie Brain. In this episode, Bradley discusses his winding path into academia, the influence his industrial experience imposes, and more.
June 8th, 2020
Erik Mjoen is the Industry Relations Manager at UC San Diego’s Halıcıoğlu Data Science Institute (HDSI), where he focuses on facilitating networking, leadership, partnership, and innovation. In this episode, we talk with him about his experiences in Industry Relations, his advice to students seeking industry opportunities, and his tips on networking and soft skills.
May 29th, 2020
In this episode, we talk to Philip Guo, Assistant Professor of Cognitive Science at UCSD. Philip has taught COGS 121: Human-Computer Interaction Portfolio Design Studio, COGS 127: Data-Driven UX, among many other courses at UCSD and Computer Science courses at the University of Rochester. He shares his thoughts on teaching in the field of HCI, design thinking, and practical advice for students looking to build up their portfolios and start side projects.
May 15th, 2020
Janelle Shane is an optics and artificial intelligence research scientist, as well as the author of the AI Weirdness blog, where she writes about the sometimes hilarious, weird ways that machine learning algorithms get things wrong. She received her PhD in electrical engineering — photonics from UCSD. In this episode, she shares about her current research, her educational background, and her writing endeavors and perspectives on AI.
May 10th, 2020
For our second episode, we have as our guest Shannon Ellis. Shannon is an Assistant Teaching Professor in the Cognitive Science Department, and has taught COGS 9 Introduction to Data Science, COGS 18 Introduction to Python, and COGS 108 Data Science in Practice. Her projects focus on Biostatistics and democratizing Data Science education.