Stephen WolframStephen Wolfram is the author of A New Kind of Science and the principal lecturer at the Summer School. He is the creator of Mathematica, the creator of Wolfram|Alpha and the founder and CEO of Wolfram Research. Having started in science as a teenager (he got his PhD at age 20), Wolfram had a highly successful early career in academia. He began his work on NKS in 1981 and spent ten years writing the NKS book, published in 2002. Over the course of 30 years, Wolfram has mentored a large number of individuals who have achieved great success in academia, business and elsewhere. Starting the NKS Summer School (now called the Wolfram Summer School) was his first formal educational undertaking in sixteen years.
Program DirectorKyle Keane is currently a full-time lecturer at MIT and part-time consultant at Wolfram in the Technical Communications and Strategy Group. Kyle was a research programmer in the Special Projects Department of Wolfram Research from 2012–2015, where he worked on establishing K–12 programming initiatives, including developing a general step-by-step physics and equation solver in Wolfram|Alpha and helping Siri speak Wolfram|Alpha results. His main areas of interest are the pedagogical effectiveness of interactive graphics, evidence-based infusion of programming into science education, improving the accessibility of technology for people with disabilities and user experience. Kyle has a PhD from the University of California, Riverside, where his dissertation was on utilizing weak quantum measurements to protect quantum systems from information loss during quantum computing.
Academic DirectorVitaliy Kaurov joined the Technical Communications and Strategy Group at Wolfram Research in 2010. He has given numerous talks at universities, research labs, companies and conferences around the world, educating people on how Wolfram technologies empower academics and industries, governments and individuals. Vitaliy is involved with international business development, oversees Wolfram Community, writes for the Wolfram Blog, is a faculty member at the Wolfram Summer School and helps with many other Wolfram initiatives. Vitaliy received his PhD in theoretical physics from the City University of New York in the area of ultra-cold quantum gases, and also worked in the fields of complex systems and nonlinear dynamics. He collaborated in National Science Foundation–sponsored research, was a professor at the College of Staten Island and served as an organizer and chair at American Physical Society conferences. Wolfram technologies helped Vitaliy to discover novel scientific ideas and develop innovative educational solutions.
Public RelationsSwede White manages public relations at Wolfram Research and is an alumnus of the Wolfram Summer School. Swede helps audiences understand the innovative things people can accomplish with Wolfram’s technology through thought leadership programs, social media campaigns, and earned media placements in outlets like WIRED, The Wall Street Journal, Scientific American, Business Insider, and others. Prior to joining Wolfram, Swede worked in broadcast journalism and attended graduate school at Louisiana State University studying sociology. Swede’s research interests include applying sociological theory to practical communications projects using computational methodologies in Wolfram Language, including natural language processing and network analysis. Specifically, he examines the relationship between identity formation and online communities. He’s also written for VICE, reported for the NPR Newscast Unit, and presented research at academic conferences ranging from computational social science to masculinities and criminology.
InstructorsChristopher Wolfram is a full-stack programmer and algorithm developer who has been programming in the Wolfram Language since a young age. He has been the lead developer for several built-in Wolfram Language functions (including Nearest and Encrypt), as well as for Tweet-a-Program and several of his own apps. He has presented at SXSW, Maker Faire, livecoding.tv and other venues on topics such as machine learning, data science and IoT programming. Christopher enjoys 3D modeling, Haskell, Swift, history, tennis and traveling. He has been a mentor in the Wolfram Summer Programs for five years.
InstructorsDaavid Väänänen has a passion for advancing humanity by improving accessibility to high-quality education and applying emerging technologies to enhance organizational excellence and life quality for all. Since attending the Wolfram Summer School in 2017, he has been advocating and developing Wolfram Language–based resources as a Wolfram Community Ambassador, particularly with the Wolfram Foundation’s Computational Thinking Initiatives. He holds a PhD in theoretical astrophysics from Pierre and Marie Curie University in Paris, France. As a postdoctoral researcher at North Carolina State University, he continued research on nonlinear dynamics of many-body quantum systems applied to astrophysical environments, as well as promoted educational outreach and public engagement. He also holds a group fitness instructor certificate and enjoys yoga, rock climbing, gardening and other outdoor activities. He firmly believes that by acting together, our persistent efforts will be able to transfer our optimistic ideas into positive realities for all people.
InstructorsDariia Porechna was born and grew up in the beautiful city of Kyiv, Ukraine. In 2016, she graduated with a bachelor’s degree in applied maths and cryptology at the Kyiv Polytechnic Institute. Her graduation project was an attempt to attack the Kuznyechik cipher with differential cryptanalysis. Recently she contributed to research in the field of elliptic curves. Dariia fell deeply in love with the Wolfram Language in early 2015 and attended the Summer School as a student the same year. After graduation, she joined the Wolfram|Alpha team as a part of the localization project. Aside from working, she loves self discovery, reading books and traveling, especially taking long walks around cities and enjoying the ocean views.
InstructorsEtienne Bernard is the lead developer of the Machine Learning Group at Wolfram Research, where he focuses on developing machine learning functionalities for the Wolfram Language. His work aims to simplify the practice of machine learning in order to spread its usage. Etienne obtained a PhD in physics from ENS Paris, where he designed Markov chain Monte Carlo algorithms to solve physics problems. He also worked as a postdoctoral scholar at MIT on Markov chain Monte Carlo algorithms and non-equilibrium statistical physics.
Professor Phillips’ career trajectory began in the early 1980s in the school of architecture at The Ohio State University, attracted by its cross-disciplinary combination of art, design, engineering, and science. He was introduced to the then-nascent world of computer graphics by Skidmore, Owings & Merrill’s presentation of a CG fly-through of Chicago Illinois. At the time, OSU was leading the way in computer graphics with notable researchers and artists including Charles Csuri, Chris Yessios, He earned his BFA, studying with Csuri, in 1986.
After his bachelor’s degree, Phillips taught and did research in medical imaging and shape before joining up with the newly constituted Pixar — a spin-off from LucasFilm and another hotbed of interdisciplinary activity. As Pixar became both more successful and more focused on motion picture animation, Phillips returned to Ohio State for a Ph.D. in architecture. A series of coincidences (featuring his Pixar colleagues Alvy Ray Smith and Loren Carpenter and some books by Jan Koenderink and Bela Julesz) happily led to a Ph.D. in cognitive psychology instead. There, he specialized in the perception of three-dimensional shape, inspired by his earlier architectural and computer graphics training. Phillips is a past editor of the Mathematica Journal, which focuses on computer mathematics across the spectrum of science, art, and social and economic modeling. He has written and edited books, journal articles, and reviews on subjects ranging from vision and its interaction with touch to deception in sports and prestidigitation.
InstructorsGiulio Alessandrini graduated with a master’s degree in physics at the University of Rome “La Sapienza.” His studies comprised mainly statistical mechanics and its applications in different fields, such as neural networks, disordered systems and biological systems. His last project revolved around the statistical analysis of bacterium E. coli’s central carbon metabolism. He participated in the 2012 Summer School as a student and joined Wolfram Research afterward. He now contributes to the development of image processing functions for the Wolfram Language. His interests span from natural sciences to Karate-Do, across Italian cantautori (singer-songwriters), science fiction and politics.
Jérôme Louradour joined the Machine Learning Group at Wolfram Research two years ago. There he contributes to the neural network framework and applies deep learning to develop new solutions for natural language understanding.
After receiving his PhD in computer science in 2006, Jérôme spent two post-doctoral years at the University of Montreal with professor Yoshua Bengio, one of the main pioneers of deep learning. Since then, Jérôme has been working more than 10 years as a researcher and research manager in the industry, with a focus on implementing state-of-the-art Machine Learning methods for handwriting recognition and various applications in natural language processing.