Kylie is Assistant Teaching Professor in the Khoury College of Computer Sciences at Northeastern University. She holds a B.S. degree in Statistics and Mathematics, a M.S. degree in Applied Statistics, and a Ph.D. in Statistics from Purdue University. In 2013, she interned at the Canary Center at Stanford for Cancer Early Detection, where she developed the Cardinal software package for statistical analysis of mass spectrometry imaging experiments. In 2015, she was awarded the John M. Chambers Statistical Software Award by the American Statistical Association for her work on Cardinal. In 2016, she joined the Olga Vitek lab for Statistical Methods for Studies of Biomolecular Systems at Northeastern University as a postdoctoral fellow. In 2019, she joined Northeastern as faculty, where she now teaches data science and develops curriculum for the M.S. in Data Science program. Her research interests include machine learning and large-scale statistical computing for bioinformatics.

Ben is Associate professor in the Khoury College of Computer Sciences at Northeastern University. His research combines computational modeling, machine learning, natural language processing, and human–machine interaction to improve our understanding of human biology. Ben’s lab creates computational frameworks that combine high-throughput data with the biological mechanisms that govern health. Since joining Khoury College in 2023, Ben has been leading several research projects focused on artificial intelligence approaches to complex systems modeling, biomedical data integration, and accelerating vaccine development. Ben is a recipient of a DARPA Young Faculty Award, the DARPA Director’s Fellowship Award, is supported by DARPA, DTRA, and the Chan-Zuckerberg Initiative. He is an advocate for open science and open-source scientific software.

Olga is Professor in the Khoury College of Computer Sciences at Northeastern University, and was previously a Faculty and a University Faculty Scholar at Purdue. She holds a PhD in Statistics from Purdue University. Her research intersects statistical science, machine learning, mass spectrometry and systems biology. Statistical methods and open-source software MSstats and Cardinal developed in her lab are widely used in academia and industry. Olga is an elected Fellow of the American Statistical Association, a recipient of the 2021 Gilbert S. Omenn Computational Proteomics Award of the US Human Proteome Organization, and of the Indigo BioAutomation Females in Mass Spectrometry Distinguished Contribution Award. She is a recipient of the CAREER award of the National Science Foundation, and of the Essential Open-source Software Award of the Chan-Zuckerberg foundation.

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