Matt Daniels is a data and statistics enthusiast dedicated to making health data useful for ordinary people. Matt leads Symcat’s team of data scientists, developers, and physicians, and he’s constantly thinking of ways to better answer the questions that matter most to patients. Prior to Symcat, Matt worked as a strategy consultant for a range of leading for-profit and non-profit entities. During this time, Matt developed a tool for International Planned Parenthood to optimize the performance of hundreds of clinics around the world. Matt graduated from Harvard University with honors in economics.

  • Likes: Mountain biking, chess, clean design, health policy, economics, eggs
  • Dislikes: Flight layovers, arguments unsupported by evidence, status quo bias

Craig Monsen is a physician in internal medicine at Brigham and Women’s Hospital in Boston. He formerly served as the president of the studentbody at Johns Hopkins where he attended medical school. He graduated from Harvard with Highest Honors in Engineering and Computer Science in 2008. During his time there he worked on optimizing motor neuron retraining for paralyzed patients and built a computer system for the automated diagnosis of heart disease using a digital stethoscope. The latter project received several awards at the Intel International Science and Engineering Fair.

  • Likes: chicken parmigiana, data, guitar, basketball, Google
  • Dislikes: eggs, poorly-written surveys, diamonds

David Do is a physician in neurology at University of Pennsylvania Hospital. He attended medical school at Johns Hopkins. He graduated from the University of Minnesota with Highest Honors in Bioengineering in 2008. His projects there included analyzing functional MRI data to map the visual field onto brain cortex and writing software to present visual stimuli to test perception. He also built a handheld navigation device for the visually-impaired using video recording to provide real-time, tactile feedback, which won the UMN Business Pitch Competition. During medical school he helped build a system for amputees to move a robotic hand by decoding muscle signals in the arm.

  • Likes: Ruby on Rails, pot stickers, Super Mario, photography
  • Dislikes: mice
Kyle Foreman Kyle Foreman hops from coffee shop to coffee shop architecting Symcat’s probabilistic knowledge graph and writing sections of his PhD in Biostatistics. His research inherits from his contributions at IHME to the Global Burden of Disease, the largest systematic effort to describe the distribution and causes of disease in the world. Prior to Symcat he worked as a data scientist specializing in modeling and visualization at Practice Fusion and Nemours Children’s Hospital. He received highest honors in Psychology and Neuroscience from Harvard and holds a Master of Public Health degree from the University of Washington.
  • Likes: the Gorge, d3, VitaMix, Thomas Bayes, eggs
  • Dislikes: tinnitus, frequentists
Brian Rayburn Brian Rayburn recently finished up a fellowship following a Masters at Johns Hopkins in Bioengineering Innovation and Design. During these he did product development on medical devices for both the US and emerging markets including a fetal heart rate monitor. Prior he worked in an optics lab convincing lasers to excite rubidium atoms and looking at the wonderful data produced. He received his B.A. in Physics from St. Mary’s College of Maryland in 2008.
  • Likes: new perspectives, adventure, cycling
  • Dislikes: complacency