Principal Investigator:

Lorin Crawford is a Principal Researcher at Microsoft Research New England. He also holds a faculty position as an Associate Professor of Biostatistics at Brown University with an affiliation in the Center for Computational Molecular Biology. Prior to joining both MSR and Brown, Lorin received his PhD from the Department of Statistical Science at Duke University where he was formerly co-advised by Sayan Mukherjee and Kris C. Wood. As a Duke Dean’s Graduate Fellow and NSF Graduate Research Fellow he completed his PhD dissertation entitled: "Bayesian Kernel Models for Statistical Genetics and Cancer Genomics." Dr. Crawford received his Bachelors of Science degree in Mathematics from Clark Atlanta University. [Personal Website] [CV]

Graduate Students:

Alan DenAdel is a Computational Biology PhD student (on the Applied Mathematics track) and a Brown Graduate School Presidential Fellow. Prior to attending Brown, Alan worked at Illumina as a bioinformatics scientist. As an undergrad, he majored in mathematics (with minors in statistics and biology) at Pacific Lutheran University; and he now holds an MS in Bioinformatics and Genomics from the University of Oregon. Alan's current research interests include statistical theory development, machine learning applications in genomics, and reproducible research.

Chibuikem (Chib) Nwizu is an MD-PhD student at the Warren Alpert Medical School of Brown University, and is currently working to complete his PhD in Computational Biology (on the Computer Science track). Chibuikem graduated from Brown University with an ScB in Applied Mathematics-Biology. His current research interests broadly include topological data analysis and the application of machine learning to clinical diagnostics, cancer genomics, and stem cell biology.

Whitney Sloneker is a Computational Biology PhD candidate at Brown University. She graduated from Caltech with a Bachelor of Science in Information and Data Science. Whitney’s research interests include explainability of deep learning models and applications of statistical methods to improving deep learning methods for biological data.

Julian Stamp is a PhD candidate at the Center for Computational Molecular Biology on the Computer Science track. Prior to attending Brown, he worked as Software Consultant at TNG Technology Consulting in Munich. Julian received a Bachelor of Science in Physics with a minor in mathematics from University of Konstanz. He also holds a Master of Science in physics with special studies in biophysics from Ludwig-Maximilian University, Munich. Julian's current research focuses on statistical methods for studying non-additive contributions to complex traits.

Alexandra (Alex) Wong is an MD-PhD candidate at the Warren Alpert Medical School of Brown University. Alex graduated from Brown University with a ScB in Computer Science and an AB in Biology. Before matriculating to medical school, she worked as a software engineer at Yelp and managed her nonprofit, Fiction for Kids. Alex's research interests broadly include developing statistical models and applying machine learning algorithms towards cancer genomics and pharmacology.

Undergraduate Researchers:

Ryan Huang is an undergraduate student in the Program in Liberal Medical Education (PLME) at Brown University and is currently working towards an ScB in Computer Science. Before coming to Brown, he worked at the San Diego Supercomputer Center and UC San Diego as a bioinformatics intern. Currently, Ryan’s research interests include machine learning applications in cancer diagnostics and topological data analysis.

Helen Xie is an undergraduate student at Brown University pursuing an ScB in computational biology. Her current research interests include applying machine learning towards cancer genomics and investigating the epigenetic landscape of pediatric solid tumors.

Former Lab Members and Affiliated Alumni: