Sarah M Brown


I am a Data Science Initiative Postdoc at Brown University affiliated to the Division of Applied Mathematics and hosted by Professor Bjorn Sandstede. Previously, I completed a Chancellor’s Postdoctoral Fellow in Computer Science at the University of California, Berkeley with faculty mentor Professor Mike Jordan. I completed a BS in Electrical Engineering with a minor in Biomedical Engineering in 2011 a MS in Electrical and Computer Engineering and a PhD in Electrical Engineering in 2016 advised by Jennifer Dy both at Northeastern University. My graduate studies were supported by a Draper Laboratory Fellowship and a National Science Foundation Graduate Research Fellowship.


I build machine learning tools that bridge from data-agnostic methods to systems that fuel data driven discovery in historically qualitative domains. I approach this from two fronts: building interfaces that enable domain scientists to communicate their qualitative expertise to algorithms and developing context-appropriate machine learning solutions through close collaboration with domain scientists.


When I the teach, I aim to engage learners in a conversation about the material. I take care to practice the strategies for creating an inclusive computer science learning environment I learned in the Carpentries instructor Training.


In addition to standard research talks, I also speak on leadership topics though my service activities.


Outside of the lab, I am a passionate advocate for underrepresented STEM engagement at all levels. Currently I am treasurer of Women In Machine Learning, Inc. As a student, I held a variety of leadership positions in the National Society of Black Engineers at both the local and national levels including National Academic Excellence Chair.