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
- Likes: the Gorge, d3, VitaMix, Thomas Bayes, eggs
- Dislikes: tinnitus, frequentists
- Likes: new perspectives, adventure, cycling
- Dislikes: complacency