About

Hi! I am a Postdoctoral Fellow in the Macosko Lab at the Stanley Center for Psychiatric Research within the Broad Institute of MIT and Harvard. I received my PhD in Mathematics and Statistics at Boston University, where I worked on complexity penalized methods with applications to modeling queueing systems, information retrieval from text, and network inference. I’m now focused on representation learning for single-cell RNA-seq and spatial data, driven by questions in neuroscience. I also co-organize the Models, Inference & Algorithms initiative.

Here is a link to my thesis.

• Teaching Instructor
  • Single-Cell Sequencing Nanocourse (March 2018) Harvard Medical School
  • STAT 106 Modeling the World with Calculus, Probability, and Statistics (Summer 2017) Harvard University
  • The Uncertainty of Daily Decision-making, Clubes de Ciencia (July 2016) Monterrey, Mexico
  • Probability Bootcamp for MSSP Program (August 2015) Boston University
  • MA581 Probability Theory (Summer 2014, 2015) Boston University
  • MA113 Elementary Stats (Summers 2013, 2012) Boston University
• Teaching Fellow, Boston University
  • MA685 Advanced Topics in Applied Statistical Analysis (Spring 2016)
  • MA882 Statistical Practicum (Spring 2016, Fall 2015, Spring 2015)
  • MA214 Applied Statistics (Spring 2014)
  • MA581 Probability Theory (Fall 2013)
  • MA115 Statistics I, MA116 Statistics II (Spring 2013, Fall 2012)
  • MA123 Calculus I, MA124 Calculus II (Fall 2014, Spring 2012, Fall 2011)