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We have assembled a team of developers who are experts in NumPy, Pandas, Pytables, Blosc, Scikit-Learn, and Matplotlib. Here are a few of our more active developers. Our team is still growing. Contact us if you would like to join.
Brock is a member of the pandas core development team and a contributor to python-dateutil and statsmodels. He holds a PhD in Economics, doing research primarily on Sticky Prices (macro).
Matt is a Pandas core developer and has years of experience utilizing Scikit-Learn, NumPy, Statsmodels, and Matplotlib in various capacities. Matt holds a masters degree in Civil Engineering from the University of California, Berkeley and now works as a Data Scientist.
Ilan was the primary Conda developer and created the Anaconda Distribution. For his first five years at Anaconda, Ilan managed every Anaconda Distribution release, and watched it become the de facto standard distribution for data scientists using Python. Ilan holds a PhD in theoretical solid state physics from the University of Bremen in Germany. After having worked as a postdoctoral researcher at Los Alamos National Lab and Georgetown University.
Satra is a Principal Research Scientist at the McGovern Institute for Brain Research at MIT, an Assistant Professor in the Department of Otolaryngology at Harvard Medical School, and a faculty member in the Speech and Hearing Biosciences and Technology program in the Harvard Division of Medical Sciences. He has made significant contributions to Scikit-Learn, and can also provide support for Tensorflow, Keras, Pandas and NumPy.
Harsh Gupta has been a core contributor to the symbolic computation library SymPy for several years. He has also contributed to Conda and Numba while working with Anaconda. Harsh holds a masters degree in Mathematics and Computing from Indian Institute of Technology Kharagpur.
Hugo has more than 12 years working in science and scientific computing, specializing in financial services. He has extensive experience building out trading systems as well as developing quantitiatve trading strategies. He is one of the original authors of Bokeh and also contributes to Pandas. Hugo has significant expertise in structuring tools and applications around Jupyter, NumPy, and Pandas for domain experts. Hugo holds a PhD in electrical engineering from the University of Michigan Ann Arbor.