NetSI Cluster Hiring in Portland (Maine)

The Network Science Institute is launching an ambitious expansion at its newest research hub at The Roux Institute in Portland, Maine.

NetSI@Roux will focus on expanding research in network and computational epidemiology, population health, urban science, network medicine, artificial intelligence, data science, and data visualization. The NetSI and Roux Institute partnership presents a unique opportunity to develop innovative network modeling approaches to translational, entrepreneurial, and community focused challenges.

NetSI will participate in Roux's startup and incubator community where our team will contribute network science-driven perspectives and tools to support challenges in health, climate, urban planning, manufacturing, and other sectors.

Join the future of Network Science

We're seeking brilliant minds to explore and expand the boundaries of network science. For more information please write to us at roux@networkscienceinstitute.org

Research Faculty Positions

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The ideal candidate will have expertise in one or more of the following research areas:

• Network medicine and biological networks
• Supply chain and manufacturing networks
• Network epidemiology and digital health
• Human dynamics, mobility networks, and wearables
• Machine learning and graph algorithms applied to health & life sciences

Postdoctoral Positions

The ideal candidate will have expertise in one or more of the following research areas:

• Epidemic Modeling/Network Epidemiology

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• Human Mobility & Urban Science

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• Machine Intelligence/Interdisciplinary

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Research Co-op Program

Mentored research opportunities for undergraduate and graduate students. More information here.

PhD Student Positions

For more information about doctoral programs at Roux and opportunities for research visits please contact us here.

People

Matteo Chinazzi
Research Associate Professor

Matteo Chinazzi is a Research Associate Professor at Northeastern University (Department of Physics), Roux Institute member, and Core Faculty at the Network Science Institute. He conducts research at the intersection between network science, data science, epidemiology, economics, and artificial intelligence. His research interests include: a) the development of computational and analytical models to study and forecast the spatial spread of infectious diseases; b) the development of agent-based models to create realistic representations of population dynamics; c) the study of human mobility and contact patterns using high-resolution large-scale de-identified location data; d) the development of computational frameworks that combine mechanistic epidemic models with machine learning/deep learning models; and e) the study of the evolution and structure of science and innovation.

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Guillaume St-Onge
Research Assistant Professor

Guillaume St-Onge is a Research Assistant Professor in the Department of Physics and a member of the Roux Institute. He works on mathematical and computational methods to model the spatial dynamics of infectious diseases, focusing on epidemic forecasts, pandemic preparedness, and global biosurveillance. His research includes the study of nonlinear systems, stochastic processes, complex networks, and human dynamics.

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Mariah Boudreau
Postdoctoral Researcher

Mariah Boudreau (she/her) is a Postdoctoral Researcher in the MOBS Lab and a member of the Roux Institute. Her current research focuses on mathematical and computational methods for stochastic dynamics of infectious disease. She received a bachelor's of science from Saint Michael's College where she studied Mathematics and her Ph.D. from the University of Vermont where she studied Mathematical Sciences.

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Mehdi Zahedi
Physics PhD Student

Mehdi is a Northwestern University graduate with a background in Electrical Engineering, Physics and Artificial Intelligence. He is interested in research applying to AI/Machine learning in Epidemiology and Social Sciences. His research within the MOBS lab involves time series forecasting, simulation based inference, surrogate and generative models and Bayesian optimizations.

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Andy (Yicheng) Zhang
Network Science PhD Student

Andy (he/him) was a research assistant contributing to the development of an existing agent-based model that simulates the COVID-19 outbreak in Massachusetts and analyzes high-resolution mobility data (SafeGraph and Cuebiq) under the supervision of Dr. Matteo Chinazzi. He had a bachelor's degree in Statistical Science from the University of California, Santa Barbara, and a Master's degree in Bioinformatics & Data Analytics from the Northeastern University. Before joining as a Research Assistant, he worked as a research co-op student at NetSI with Dr. Jessica Davis and Dr. Brennan Klein. He is now a current PhD student attending the Network Science Institute! 

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Ankit Ramakrishnan
Research Assistant

Ankit is a Computer Science M.S. graduate from Northeastern University, specializing in Natural Language Processing, Algorithms, HCI, and Programming Languages. His interests span Software System Design, Data Analysis, Computational Social Science, Digital Humanities, and Art. At the Network Science institute he is working under the leadership of Dr. Matteo Chinazzi on using large scale location data for epidemiological modeling and analysis.

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Son Nguyen
Co-op Student

Son (pronounced “sern”) is a senior at Northeastern University currently pursuing a Bachelor of Science in Computer Science. He is passionate about building efficient digital solutions, especially in web development. Having worked on several projects and experiences in React, Node.js, and full stack development, Son is committed to crafting responsive, scalable, and secure web applications. Son is currently working as a Web Developer Co-op at the Network Science Institute. Outside of work, he enjoys watching the NBA, playing basketball and hitting the gym.

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Elijah Sandler
Co-op Student

Eli (he/they) is an undergraduate student at Northeastern University studying Data Science and Philosophy, with interests in algorithmic ethics, bias, and game theory. He has worked on applying the philosophical method to data driven projects from all walks of life, from sports predictions to criminal justice.

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Vithya Srikumar
Co-op Student

Vithya Srikumar is a third-year Computer Science and Behavioral Neuroscience major at Northeastern University. She is currently working as a Software Engineer Co-op with Professor Matteo Chinazzi to maintain and further develop a computational pipeline used to generate real-time epidemic forecasts. In her free time, Vithya enjoys trying new foods, spending time with friends, and playing piano and violin.

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