Collaborating Authors

What would you like Martha Grabowski, Director of IS at LeMoyne, to speak about? - Syracuse Women in Machine Learning & Data Science (Syracuse, NY)


WiMLDS's mission is to support and promote women and gender minorities who are practicing, studying or are interested in the fields of machine learning and data science. We create opportunities for members to engage in technical and professional conversations in a positive, supportive environment by hosting talks by women and gender minority individuals working in data science or machine learning. Events include technical workshops, networking events and hackathons. We are inclusive to anyone who supports our cause regardless of gender identity or technical background.

NYC WiMLDS: Intro to PyTorch Workshop


AT&T Labs will be hosting the NYC WiMLDS community for an Intro to PyTorch event with Dr. Michela Paganini from Facebook AI Research! We would also like to thank Facebook for sponsoring this event. Links to Google Colab notebooks will be provided at the event. She joined Facebook in 2018 after earning her PhD in particle physics from Yale University under the supervision of Paul Tipton. Her work focuses on the empirical characterization of neural network dynamics using tools from theoretical and experimental physics.

The Future of Data Science and AI is Promising


Did you know machine learning is behind a vast of technologies that we use today? Muthoni Wanyoike, the team lead at Instadeep Kenya and an Actuarial Science graduate from Dedan Kimathi University of tech is one of the great brains behind the Women in Machine Learning and Data Science community Nairobi chapter, (WiMLDS) Kenya. "When I started the Nairobi chapter of WiMLDS, I was just starting out in Data Science at the ICT Authority's Kenya Open Data Initiative. I was really looking for a community where I would gain new skills and also connect with people with the same interest as well as those already in the industry," says Muthoni Muthoni, however, admits setting up a community was not easy. At first, they organized meetups where they would charge participants to attend sessions on data science and machine learning with an abundance of Faith that attendees would believe in their vision.

Women in Data Science


Reshama is a freelance data scientist/statistician with skills in Python, R and SAS. She earned her M.S. in statistics from Rutgers University. She earned her M.B.A. from NYU Stern School of Business where she studied strategy, business analytics and technology management. She began her statistical career at Educational Testing Service. She then worked for over 10 years as a biostatistician in the pharmaceutical industry at various companies including PPD, Merck, Thomas Jefferson University and Pfizer, covering Phase I through Phase 4 clinical trials.