Jj Cherry Email & Phone Number

California, United States

New York, New York, United States

Los Angeles

Built the Muskometer, a twitter general purpose streaming behavioral anomaly detection tool and demonstrated the use case of leveraging Elon Musk’s twitter patterns to predict Tesla stock price reactions. Coded Python backend to process 11.1 thousand tweets and identify behavioral patterns and outliers. Executed sentiment analysis, anomaly detection, time series analysis and prediction to presage periods of anomalous behavior. Deployed sentiment based anomaly detection and prediction with Streamlit to make Tesla stock purchasing recommendations to users who sign up to receive email notifications.

Fukuoka, Japan

• Led a collaboration of 7 scientists from the United States and Japan, mentoring one Japanese graduate student, to produce the world’s first 5 dimensional simulations of neutrino emission from exploding stars by solving over 1 billion coupled differential equations in parallel.

Vermillion, Sd

• Constructed detector models of the ANITA and ICECUBE neutrino telescopes using Python and deployed them along side ultra-high-energy neutrino cosmic ray simulations, also made with Python, to track neutrino transmission through the Earth, providing an explanation of mysterious upward directed cosmic-ray signals observed at the south pole

Vermillion, Sd

Blacksburg, Va

• Assembled modular physics packages into a single workflow using Python, MPI4Py, and distributed computing to produce 10 thousand individual models of Dark Matter distributions near the Milky Way galaxy, improving limits on potential Dark Matter candidates by a factor of 10• Integrated neutrino detector and neutrino signal models into a unified framework using Python, MPI4Py, and distributed computing to perform signal analysis with over 1 million individual realizations, elevating the science case for the US’s billion dollar particle detector of the 2020’s: DUNE

Blacksburg, Va

Los Alamos, Nm

• Discovered the neutrino “halo” effect in exploding stars using Python to process over 100 GBs of results for large scale supernova simulations, leading to a revolution in the interpretation of supernova neutrino signals (popular article: https://www.nature.com/articles/nphys2361 )• Designed a novel algorithm for modelling supernovae neutrinos employing Fortran to solve a network of 10 million coupled differential equations in a parallel computing environment, producing novel neutrino signals for astronomers• Developed a model of neutrino portal Dark Matter by leveraging Numba and Python to perform efficient numerical integration of 20 thousand simulations of the evolution of the early universe, resulting in a leading model to explain Dark Matter self-interaction

Los Alamos, Nm

Greater San Diego Area

San Diego, Ca

Product engineer for the QD Vibrating Sample Magnetometer.

Doctor Of Philosophy - Phd, Physics

Master'S Degree, Physics

Bachelor Of Science - Bs, Physics