Meet Our Speakers
Chief Executive Officer
Chief Executive Officer at Anaconda, Inc.
Prior to joining Anaconda, Scott held the position of Vice President of Hybrid Platform at VMware, where he lifted the company’s high-growth cloud services business. Previously, he served as Vice President of Platform Go to Market at Salesforce.com. Scott was instrumental in the sale of Signio (now a division of PayPal) to Verisign for $1.3 billion in 1999, and has held a variety of executive positions at both large software companies and startups, including Microsoft, SourceForge and Geeknet.
Scott is a former Fulbright scholar and holds a PhD from the University of California, Berkeley, a Master of Arts from the University of Freiburg (Germany) and a Bachelor of Arts from the University of Texas, Austin.
In his free time, Scott is a runner, avid reader and musician. He is also fluent in German and can still read a little Latin and Greek.
CTO & Co-Founder
CTO & Co-Founder at Anaconda, Inc.
Peter Wang has been developing commercial scientific computing and visualization software for over 15 years. He has extensive experience in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling and medical imaging.
Peter’s interests in the fundamentals of vector computing and interactive visualization led him to co-found Anaconda (formerly Continuum Analytics). Peter leads the product engineering team for the Anaconda data science ecosystem, and works on product engineering and software architecture for open source projects including Bokeh and Blaze.
As a creator of the PyData community and conferences, he devotes time and energy to growing the Python data science community, and advocating and teaching Python at conferences around the world. Peter holds a BA in Physics from Cornell University.
Assistant Prof. of Developmental Psychology
University of Texas, Austin
Assistant Prof. of Developmental Psychology at University of Texas, Austin
Keynote speaker David Yeager is a leading expert in grit, performance, and the growth mindset: the belief that we can change, adapt, and make progress.
David is an experimental development psychologist in the department of psychology at the University of Texas at Austin. In his academic research, he examines the causes of and solutions to adolescent health problems, often focusing on adolescent transitions as a place where there is great opportunity (and risk) for young people’s trajectories. In May 2014, David was the subject of a major New York Times Magazine article ("Who Gets to Graduate?") by education speaker Paul Tough, in which he was named "one of the world’s leading experts on the psychology of education."
David has co-authored work on grit, grit-testing, and growth mindset, and has been quoted in high-profile articles on academic tenacity. David’s work has appeared in places like The New York Times, The Atlantic, Scientific American, The Wall Street Journal, The Guardian, and beyond. In May 2013, David chaired and co-hosted a national summit on mindset interventions at the White House Office for Science and Technology Policy. This event led to the launch and co-chairing of the “Mindset Scholars Network,” an interdisciplinary research network housed at the Center for Advanced Study in the Behavioral Sciences, where he was a 2014-2015 fellow.
David holds a PhD and MA from Stanford University, and a BA and MEd from the University of Notre Dame. He is a William T. Grant Foundation scholar, a Fellow at the Carnegie Foundation for the Advancement of Teaching, a Faculty Research Associate at the UT Population Research Center, and a Faculty Research Fellow at the UT Dana Center.
Software Engineer at Anaconda, Inc.
Michael started as a scientist, working with image processing and instrument control for electron microscopes. Building software for these applications was so painful that Michael learned a lot and got strangely addicted to making packaging easier. Michael is currently the tech lead for the conda-build tool for creating conda packages, as well as the architect of Anaconda's next-generation automated package build system.
Chief Data Officer
City of Boston
Chief Data Officer for the City of Boston
Andrew Therriault joined the City of Boston as its first Chief Data Officer in 2016, after serving as Director of Data Science for the Democratic National Committee. He received his PhD in political science from NYU in 2011 and completed a postdoctoral research fellowship at Vanderbilt, and more recently served as editor of Data and Democracy: How Political Data Science is Shaping the 2016 Elections (O'Reilly Media). Andrew leads Boston’s Analytics Team, a group that is a nationally recognized leader in using data science to improve city operations and make progress in critical areas such as public safety, transportation, citizen engagement, and public health.
UL Firefighter Safety Research
Research Engineer at UL Firefighter Safety Research
Craig holds a PhD and MS in Mechanical Engineering from The University of Texas at Austin, where he worked with the Austin Fire Department on characterizing the impact of ventilation on room-scale fires. Craig also has conducted full-scale residential fire experiments designed to characterize the thermal environment within the structure as well as firefighter exposure. Craig is a developer of NIST's Fire Dynamics Simulator, which he has used to study fires that resulted in line-of-duty deaths to firefighters. Craig also is a primary member of the team building FireCARES.org, an online tool designed to assess community risk and fire department characteristics.
Jules S. Damji
Apache Spark Community Evangelist and Developer Advocate
Jules S. Damji
Apache Spark Community Evangelist and Developer Advocate at Databricks
Jules S. Damji is an Apache Spark Community Evangelist and Developer Advocate at Databricks. He is a hands-on developer with over 15 years of experience, and has worked at leading companies such as Sun Microsystems, Netscape, @Home, Opsware/Loudcloud, VeriSign, ProQuest, and Hortonworks, building large-scale distributed systems. He holds a BSc and MSc in Computer Science and MA in Political Advocacy and Communication from Oregon State University, Cal State, and Johns Hopkins University, respectively.
Data Scientist at MapR Technologies
Justin Brandenburg is a data scientist at MapR Technologies. He has experience in a number of data analytics verticals, ranging from counter-narcotics to cyber analytics, where he has leveraged machine learning, graph theory, and agent-based modeling to pull value from data. He has an undergraduate degree in economics from Virginia Tech, a master's in economics from Johns Hopkins University, and a master's in computational social science from George Mason University.
Director of Global Data Science
Director of Global Data Science at HomeAway.com
Katrina Riehl is the Director of the Global Data Science team at HomeAway.com. Over the last decade, Katrina has worked extensively in the fields of scientific computing, machine learning, data mining, and visualization. Most notably, she worked at the University of Texas at Austin, Apple, and Anaconda, Inc. (formerly Continuum Analytics). Katrina received her PhD and MS in Computer Science from the University of Texas at Dallas.
Principal Engineer at SimpleLegal
Mahmoud Hashemi is a backend engineer and architect, open source library maintainer, and Wikipedian, with ten years of experience building enterprise-grade software. He is the author of O'Reilly's Enterprise Software with Python, host of the Pyninsula Python meetup group in the San Francisco Bay Area, writer at sedimental.org, and presenter of talks on Python and architecture, delivered all around the world.
Data Engineer at Wealthsimple
Max is a data engineer for Wealthsimple, a Webby Award Winning Fintech company that is bringing smarter financial services to everybody, regardless of age or net worth. Prior to Wealthsimple, Max served as the first data scientist for the online lending platform Borrowell. He has spoken at ODSC, PyData, useR, and BigDataX in London, Berlin, Brussels, and Toronto.
Senior Manufacturing Analytics Developer
General Motors LLC
Senior Manufacturing Analytics Developer at General Motors LLC
Peter Buschbacher is a Senior Manufacturing Analytics Developer at General Motors LLC. He has a background in informatics, functional programming, information systems, and business analytics. Outside of work, Peter is an avid caver, photographer, and connoisseur of beer.
Business Intelligence Developer
Business Intelligence Developer at Indeed
Samuel like solving data problems, distance running, and building things, and is proud of the time he spent teaching high school students to code, his pun generator, and his efforts to teach a computer sign language.
Samuel currently works as a Business Intelligence Developer for Indeed, the world's largest job site. In the past, he’s worked for Square Root, TripAdvisor, and Logos. Samuel graduated from Baylor University, where he studied Computer Science.
Full Spectrum Analytics
Consultant at Full Spectrum Analytics
Tim Horan has a decade of consumer finance experience as an analyst and leader of data scientists and analysts in unsecured lending and retail banking. Most recently, he led the development, monitoring, and maintenance of all valuation models for a top 3 US credit card issuer.
Cyber Security Engineer
Cyber Security Engineer at MITRE Corporation
Austin West is a Cyber Security Engineer at MITRE Corporation, a federally funded research and development center. He is a full stack Python developer with an MS degree in computer science from Naval Postgraduate School and three years’ experience in the cyber security industry.
Director, Community Innovation
Director, Community Innovation at Anaconda, Inc.
Stan leads the Community Innovation team at Anaconda, where his work focuses on high performance GPU computing and designing data analysis, simulation, and processing pipelines. He is a longtime advocate of the use of Python and GPU computing for research. Prior to joining Anaconda, Stan served as Chief Data Scientist at Mobi, where he worked on vehicle fleet tracking and route planning.
Stan received a PhD in experimental high energy physics from the University of Texas at Austin, and performed research at Los Alamos National Laboratory, University of Pennsylvania, and the Sudbury Neutrino Observatory.
Product Manager at Anaconda, Inc.
Since joining Anaconda in 2012, Crystal has held many hats—most notably Project Manager for the Anaconda Distribution—and has watched the Anaconda Distribution grow from hundreds of downloads a month to millions. Crystal now primarily works as a Product Manager for the Anaconda Distribution and Anaconda Cloud. Prior to joining Anaconda, Crystal spent over ten years as part of the Systems and Technology Group at IBM. She has extensive experience using SAS to analyze semiconductor data for Power PC processors, ranging from those used in home game consoles to those powering some of the world’s fastest supercomputers. During her tenure at IBM, Crystal also supported customers and developed technical documentation. Crystal has a BS in Electrical and Computer Engineering from Cornell University.
VP of Sales Engineering and Implementation Engineering
VP of Sales Engineering and Implementation Engineering at Anaconda, Inc.
Duane oversees Anaconda’s pre-sales and implementation engineering teams. He is a driven team leader and manager with a passion for mapping solutions to customer needs and achieving high customer satisfaction. Duane came to Anaconda with 20+ years of experience delivering distributed computing and analytics solutions into the enterprise. He has worked at both startups and public companies, selling into financial services, pharmaceuticals, manufacturing, health care, and publishing. He also spent four years running an online market place for professional event planners to connect with available venues, and currently draws from his expertise to advise early-stage startups on product management and go-to-market strategies. Duane holds an SB in Math with Computer Science from MIT. He is based in NYC.
Product Marketing Manager
Marketing Manager at Anaconda, Inc.
Gus Cavanaugh is a Product Marketing Manager at Anaconda, where he focuses on translating technical capabilities into user benefits. He has over five years’ experience in analytics and consulting for enterprises. Prior to joining Anaconda, he worked on projects ranging from small scale data apps and dashboards to distributed Hadoop clusters at companies including IBM and Booz Allen Hamilton.
Gus holds an MS in Systems Engineering from George Washington University and a BS in Business Administration from Washington & Lee University. He is a frequent speaker on analytics topics for non-technical audiences.
Product Manager at Anaconda, Inc.
Kristopher works with DevOps, product engineering, and platform infrastructure for the Anaconda Enterprise data science platform. His areas of expertise include distributed systems, data engineering, and computational science workflows.
Kristopher has over ten years’ experience in a range of areas, including applied research, high performance and scientific computing, small-scale and large-scale experiments, system administration, open-source software development, computational modeling, and hands-on technician/electronics work.
Kristopher received his PhD in Civil Engineering from The University of Texas at Austin, and holds a BS and MS in Fire Protection Engineering. Prior to joining Anaconda, he worked at the National Institute of Standards and Technology (NIST), Southwest Research Institute, and The University of Texas at Austin.
Sr. Solution Architect
Sr. Solution Architect at Anaconda, Inc.
Michael is a computational mathematician specializing in optimization, signal processing, and simulation, and a contributor in classroom, research, and commercial settings. He assists clients in the development of advanced Python data science applications using Anaconda Distribution. As a recognized subject matter expert in convex optimization, Michael’s open source modeling tools for optimization have twice been recognized with awards from the International Society for Mathematical Programming.
Prior to joining Anaconda, Michael served as a consulting assistant professor in the Information Systems Laboratory, a research associate in the Department of Energy Resources Engineering at Stanford University, and a staff scientist in the Department of Applied and Computational Mathematics at the California Institute of Technology.
Michael received a PhD and MS in Electrical Engineering from Stanford University, and a BS in Electrical and Computer Engineering from The University of Texas at Austin.
Software Developer at Anaconda, Inc.
Daniel Rodriguez is a Data Scientist and Software Developer with over five years’ experience in areas ranging from DevOps to machine learning. He has performed data analysis and data engineering in big data environments across various industries.
Daniel holds a degree in Electrical Engineering from Universidad de los Andes Colombia, and an MS in Science in IT Management from UT Dallas. He is passionate about open source data technologies and has spoken at PyData andSpark Summit.
Computational Scientist at Anaconda, Inc.
Ian works with Anaconda’s clients to leverage data science in order to meet their analytics needs. Prior to joining Anaconda, Ian was a lecturer and researcher in computational science at the Harvard Medical School and School of Engineering. He also has taught a range of introductory and advanced scientific computing courses at Harvard Medical School, the University of Oxford, and the European Molecular Biology Laboratory. Ian received his PhD from the University of Oxford and has run and delivered hundreds of hours of industry training courses in business data modeling and web services architectures to thousands of engineers and scientists.
Anaconda Tech Lead
Anaconda Tech Lead at Anaconda, Inc.
Kale Franz is the lead developer for the conda project at Anaconda. He received an undergraduate degree in physics from the Colorado School of Mines and a PhD in electrical engineering from Princeton University. Kale is a domain expert in the field of quantum cascade lasers, and made infrared semiconductor lasers for the NASA Jet Propulsion Laboratory immediately after graduate school. Before joining Anaconda to lead conda development, Kale was a backend developer and DevOps tech lead at 23andMe.
Lead Dask Developer
Lead Dask Developer at Anaconda, Inc.
Matthew Rocklin is an open source software developer at Anaconda focusing on efficient computation and parallel computing, primarily within the Python ecosystem. He has contributed to many of the PyData libraries and is the Lead Developer of the Dask library for parallel computing. Matthew holds a PhD in computer science from the University of Chicago, where he focused on numerical linear algebra, task scheduling, and computer algebra.
Data Scientist at Anaconda, Inc.
Tom is a Data Scientist and developer at Anaconda and works on open source projects including dask and pandas. Tom’s current focus is on scaling out Python's machine learning ecosystem to larger datasets and larger models.
Director of Training
Director of Training at Anaconda, Inc.
Dhavide Aruliah is Director of Training and Senior Computational Scientist at Anaconda. Previously, Dhavide was an Associate Professor at the University of Ontario Institute of Technology (UOIT), where he served as Program Director for various undergraduate and postgraduate programs. His research interests include computational inverse problems, numerical linear algebra, and high-performance computing.
Data Scientist at Elucd
Eric Schles works for Elucd as a Data Scientist, and is also an Adjunct Professor and researcher at NYU. He is deeply passionate about using big data, data science, and automation to combat human slavery and trafficking. Previously, Eric served as Senior Analyst for the Manhattan DA's Human Trafficking Response Unit, and also worked for the White House under the Obama Administration.
Mathematician/Data Scientist at Credit Suisse
Tassos Sarbanes is a mathematician-turned-computer-scientist and an experienced IT professional with capabilities and knowledge acquired specifically in information systems, data management, data (big, fast, small, smart) analysis, and data science in international roles. He is driven by a real love for science, technology, engineering, and mathematics (STEM). Effectively combining technical expertise with commercial acumen, Tassos particularly enjoys researching, exploring, and understanding specific areas of the financial industry, often preparing presentations, papers, and books on topics such as algorithmic development for mathematical and statistical problems, and optimization in numerical computing.
Full Spectrum Analytics
Consultant at Full Spectrum Analytics
Hussain Sultan is a leader in computational Python development and data science enablement as both a software engineer and data scientist. He has worked at leading tech and financial service companies, building the infrastructure to empower analysts and data scientists to do the best work of their lives. At Full Spectrum Analytics, Hussain focuses on data science enablement for financial services. His clients include top banks as well as fintechs.
Data Scientist at Yelp
Dr. Lin is a Data Scientist at Yelp working on a wide range of data science problems, including machine learning forecasting, causal inference, and experiment analysis. She enjoys linking Yelp's rich data with external economic data, and built the prediction model underlying Yelp's Local Economic Outlook. In her previous life, she was an Assistant Professor of Economics at Oregon State University, specializing in International Trade and Finance. She has published in top peer-reviewed academic journals on the topics of causal inference and natural experiment analysis.
Data Scientist at State Farm
Michael is a Lead Data Scientist at State Farm. He also is an Adjunct Professor for the University of Illinois at Springfield, where he teaches Essentials of Data Science and Advanced Neural Networks and Deep Learning to graduate students in the computer science and analytics departments. Michael has worked on several open source software projects and remains active in that community. In his spare time, Michael likes to race bikes for Bloomington Cycle and Fitness, backpack, and take pictures.
Data Scientist at The General
Senior Consultant at FireEye
Drew Bonasera is a Senior Consultant at FireEye with a BS in Information Security and Forensics from Rochester Institute of Technology. He is all things Python, system administration, network security, and cat pictures, and recently has become interested in applying machine learning solutions to the security problem space.
Student, Deep Learning Practitioner
Student, Deep Learning Practitioner at SRM University
Sanyam is a self-taught deep learning practitioner, Pythonist, and Computer Vision Guru from a small town in India, where finding decent Internet connectivity is a struggle. Along his self-taught path, he has worked on various deep learning projects, including Sentiment Analysis, Fast Transfer Learning, and Vision problems at Maharatna company ONGC and at IITs (IIT-Roorkee, IIT-Madras).
In addition to his deep learning endeavors, Sanyam has studied reinforcement learning, participated in Kaggle Competitions, pursued a Nanodegree, bagged a fast.ai international scholarship, and blogged about his techniques. He aims to implement deep learning in agritech and major world issues.
SVP of Products & Marketing
SVP of Products & Marketing at Anaconda, Inc.
Mathew has well over 20 years’ diverse experience in cloud computing and product leadership. Prior to joining Anaconda, he served as Chief Operating Officer at Weaveworks, the container and microservices networking and management start-up; and previously as Vice President in VMware’s Cloud Services group. At VMware he was co-founder of what became its vCloud Air IaaS service.
Early in his career, Mathew built compilers and distributed systems for projects like the International Space Station, helped connect six countries to the Internet for the first time, and managed a $630m router product line at Cisco. At start-up CPlane he attempted to do SDN 10 years too early. Prior to VMware, Mathew was Senior Director at Symantec in its $1Bn+ information management group.
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