Diamond Bar, California, United States
Hi, my name is Christopher Chin and I am a rising junior at the University of California, Berkeley, majoring in Applied Mathematics with a cluster in numerical analysis. Through my mathematical and analytical skills, I aim to help develop new solutions for defense and space applications, applied machine learning/AI and other related areas. Reach me at: [email protected] ORCID ID: 0009-0001-0683-9785
- Player Personnel Intern for Cal Football, a Division 1 FBS program representing the University of California, Berkeley
- Extracted and processed particle flux data from the Solar Energetic Particle (SEP) instrument aboard NASA’s MAVEN spacecraft using IDL. - Analyzed a targeted one-month interval of MAVEN SEP data to statistically evaluate solar-flare–related energetic particle enhancements. - Implemented Python-based regression and signal-processing algorithms to model trends, assess event magnitudes, and generate diagnostic visualizations. - Worked on correlating tangential altitude of MAVEN with X-ray count rate from Scorpius X-1 - Performed analysis techniques on graphs modeling low energy particle flux, occultation and field of view data
- Systems Intern employed by Atlas Assembly - Assembled and modified 4 3D models of connectors and cable assemblies - Modeled 3 prototyped mechanical assemblies through SOLIDWORKS to enhance soldering efficiency by 15% - Constructed 20 fully functional electrical test harnesses using wires, pin contacts, and connectors - Used high voltage cable testers to troubleshoot 30+ ETHs - Cataloged 200+ ETHs to streamline tracking and operational deployment
- Co-author on Habitable Worlds Observatory (HWO) research in The Astronomical Journal with NASA JPL/GSFC and Berkeley, cleaning and modeling 35 years of high-noise time-series data - Contributed data analysis for 2 planetary candidate signals in HD 192310 and HD 219623 - Analyzed RV data for 101 stars, including Tau Ceti and Alpha Centauri A & B - Used Lomb-Scargle periodograms, stellar activity correlation plots, and MCMC posterior distributions to evaluate 20+ exoplanet signals - Collated stellar data on 4 stars (HD 72905, HD 84737, HD 210302, HD 189567) using the Data Analysis Center for Exoplanets (DACE) and NASA Astrophysics Data System (ADS) using Python - Standardized and merged multi-instrument public radial velocity datasets (HIRES, HARPS, APF/Hamilton spectrographs) using pandas and NumPy
- Manufacturing Engineer Intern employed by Atlas Assembly - Assembled an Electrical Test Harness (ETH) for subsea cables such as those used in the IceCube Neutrino Observatory at the Amundsen–Scott South Pole Station - Gained hands-on experience in aerospace and scientific hardware manufacturing under Glenair’s interconnect solutions division - Learned and applied technical skills including soldering M27500 wires to pin contacts, manufacturing MIL-SPEC cables, and designing cable harness layout patterns