Tidal disruption events as UHECR sources
D. N. Pfeffer, E. D. Kovetz and M. Kamionkowski, Mon. Not. Roy. Astron. Soc. 466, no. 3, 2922 (2017)
CV
Skills
- Programming: Python, C, C++, Matlab, HTML, PHP, JavaScript, Mathematica, Bash, Keras
- Analytical Techniques: Machine Learning (Regression, Decision Tree, SVM, NN), Linear Algebra, Statistics (Maximum Likelihood Fitting), Data Analysis, Data Visualization
Work experience
- January 2020 - Present: Data Science Manager (Previously Senior Data Scientist and Data Scientist)
- EVERSANA (Formally HVH Precision Analytics)
- Manage and lead a team of Data Scientists and Data Analysts working on multiple projects
- Developed tools to derive insights from Electronic Medical Records
- Extracted insights from administrative claims healthcare data to track patient characteristics and their journey through the healthcare system
- Created predictive models using machine learning and statistical techniques to find undiagnosed patients with rare diseases
- Developed and deployed analytics and machine learning models on administrative claims data deployed on a SaaS platform.
- EVERSANA (Formally HVH Precision Analytics)
- August 2014 - September 2019: Graduate Research/Teaching Assistant
- Johns Hopkins University
- Trained convolutional neural network to predict the underlying galaxy-brightness distribution of a line intensity map
- Used Markov chain Monte Carlo and Nested Sampling to identify relevant influencing forces on dark matter interactions
- Built a model to estimate flux of cosmic rays and proved its validity by correctly predicting observed flux
- Implemented new anomaly-detection techniques to search for unresolved gamma ray sources
- Led teams of up to 11 teaching assistants to help teach courses for up to 300 undergraduates
- Johns Hopkins University
- June 2013 - August 2013: Research Experience for Undergraduates (REU)
- University of Rochester
- Modeled accretion onto red giant stars from white dwarf stars
- Used and modified AstroBear, a FORTRAN based modular hydrodynamic & magnetohydrodynamic adaptive mesh refinement code, to simulate accretion onto stellar objects
- University of Rochester
- June 2012 - August 2012: Lewis Educational and Research Collaborative Internship Project (LERCIP) Intern
- NASA Glenn Research Center
- Prototyped new internal procurement system for satellite data transfers with JavaServer Pages.
- NASA Glenn Research Center
- June - August 2011 and 2012: Web Developer
- SpeculatingStocks.com
- Developed back-end tools to automatically scrape websites for stock information and news; Prototyped social media features such as followers, likes, and shares to increase engagement on a financial-news oriented website
- Created and managed SQL databases to store constantly updating stock information.
- SpeculatingStocks.com
Education
- Ph.D in Physics and Astronomy, Johns Hopkins University, 2019
- M.A. in Physics and Astronomy, Johns Hopkins University, 2016
- B.S. in Mathematics and Physics, Case Western Reserve University, 2014
Publications
Deconfusing intensity maps with neural networks
D. N. Pfeffer, P. C. Breysse and G. Stein, 2019
Characteristics of chronic intestinal failure in the USA based on analysis of claims data
Mundi, MS...Pfeffer, DN, et al. Characteristics of chronic intestinal failure in the USA based on analysis of claims data. J Parenter Enteral Nutr. 2022; 46: 1614- 1622. doi:10.1002/jpen.2426
My resume as a PDF is available here