This is the tentative speaker list for Jupyter Day Boston, which will be held on March 17-18 at the Harvard Law School. You can make any changes you like and send a pull request, or just email any corrections to [email protected] and I'll put them in. If you want to change your picture, please make sure it is a square format.
IMPORTANT: If you have not done so already, please register as a conference speaker at the eventbrite page.
Ash Wilson builds developer tools, SDKs, and a content management system on the Developer Experience team at Rackspace. His interests include programming languages, IDEs, chat bots, continuous integration and delivery, configuration management, and Docker.
Peter is a co-founder at DrivenData, whose mission is to bring the power of data science to the social sector. Recently he has worked on projects in smart school budgeting, predicting trends in women’s healthcare, and improving public services by using novel data sources. He earned his master’s in Computational Science and Engineering from Harvard in 2014. Previously he worked as a software engineer at Microsoft and earned a BA in philosophy from Yale University.
Chelsea Douglas is the lead support engineer at Plotly. She is developing Plotly's python API and javascript library, and is also an avid Jupyter Notebook user!
Daina Boiquin is the Assistant Head Librarian at the Harvard-Smithsonian Center for Astrophysics in Cambridge, MA. Her work focuses primarily on how computational techniques and thinking can be applied to socio-technical and historical questions about how libraries and archives can contribute to the creation of new knowledge. Some specific topics of interest include open data, metadata, data visualization, machine learning and digital technologies development.
Demba Ba is Professor of Electrical Engineering and Bioengineering in the School of Engineering and Applied Sciences at Harvard University. He has close to 10 years of experience, in industry and academia, developing novel algorithms for extracting useful information from data. In his research, he develops mathematical and computational tools that leverage the inherent structure in data from artificial and natural systems. His group has developed a new, Jupyter-based course on Signal Processing at Harvard that addresses several challenges.
Elaine Angelino is the Miller Fellow at the University of California, Berkeley in the AMPLab. She is one of the technical leads on the ambitious Berkeley Data Science education initiative, which is slated to become a campus-wide curriculum offered (possibly required) eventually to all incoming freshmen.
Eni Mustafaraj is an Assistant Professor of Computer Science at Wellesley College. She has introduced the use of Jupyter notebooks in the CS1 course at Wellesley, and they are now used extensively during class time. Jupyter notebooks are also the central component of her elective course on Data Science.
Jeremy Freeman is a neuroscientist using computation to understand the brain. He is the group leader at Janelia, co-organizer of CodeNeuro, and the creator of the popular binder service for launching Notebooks and other Docker-based environments.
Jonas Rosland is a Developer Advocate at EMC {code}, loves tech, food, wine, craft beers and geeky things. He blogs at jonasrosland.com.
Kyle Kelley is a programmer, sometimes mathematician, oftentimes ops. He works for Rackspace, where he both fosters Developer Experience and works on open source to benefit communities, open source projects, and the companies that rely on and support the tooling. As part of this, he is a core contributor to IPython and the Jupyter project.
Laurent Gautier is a Senior Investigator at Novartis Institutes for BioMedical Research. He is a long-time user of R and original core member of the bioconductor project, the lead of the Python-R bridge (60,000 downloads/month!), and he wrote the first Julia-R bridge.
Matthias Bussonnier is a post-doctoral scholar who received his PhD in Biophysics at Institut Curie (Paris, France) after a training in fundamental Physics at ENS Cachan (France). Matthias develops tools for modern computational research across disciplines, with an emphasis on high-level languages, literate computing, and reproducible research. Matthias has been a core developer of the IPython and Jupyter Project team since 2011 and is bringing real-time collaboration to scientific tools.
Paco Nathan is the Director of the Learning Group at O'Reilly Media. He has led several data teams in industry, evangelized many popular open source projects (Spark, Mesos, Cascading, and been teaching with Jupyter notebooks for a couple of years, and loving it! http://liber118.com/pxn/
Rahul Dave is a Computational Scientist at the Astrophysics Data System (ADS) at Harvard University in Cambridge, MA. He is also Chief Wrangler at Nareau Inc, a consultancy focussed on managing large data sets, finding patterns in and computing on data, visualizing data and results of computation, and making these available over the web. He is also interested in collaborative software, especially as it pertains to personal and group information management, and its potential to create new, more democratic and responsible forms of media. In the recent past, he was a computational scientist at Harvard’s Initiative in Innovative Computing. He is a cosmologist by training, and a developer by vocation. He is an avid climber and skier, and a mountain person at heart.
Safia is an energetic software engineer with an interest in data science for social good, intelligent interfaces, and great coffee. She is the founder and fearless leader of dsfa, a startup aimed at providing data science services to small businesses. She is also the organizer of PyData Chicago, where she brings an awesome community of developers and data scientists to build amazing open source software. In her free time, she enjoys working out, contributing to open-source software, and teaching people how to be awesome with code.
Thorin Tabor is the developer of the GenePattern Notebook environment, which uses Jupyter Notebooks to capture, automate and share workflows used in cancer research, as well as other genomic analyses.
GenePattern Notebook is an extension that allows Jupyter to communicate with the open source GenePattern environment. This environment wraps hundreds of different software tools for analyzing gene expression data, and makes these tools available in a user-friendly interface.