Charles Brightman Professor of Physics at Syracuse University
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Syracuse University
Data Scientist
June 27, 2026 – Present
research-skills
March 13, 2026 – Present
Syracuse University research administration skills for Claude
View Projectcosmic-explorer-bns-eccentricity
March 30, 2021 – September 17, 2021
Supplementary data for Cosmic Explorer eccentric binary neutron star search prospect paper
View Projectgw170817-eft-eos
August 26, 2019 – August 28, 2019
Supplemental materials for GW170817 EFT EOS paper
View Projectpycbc-inference-comet
May 30, 2019 – May 31, 2019
Files for running PyCBC Inference on SDSC Comet
View Project2-ogc
February 25, 2019 – June 19, 2021
Second Open Gravitational-wave Catalog of Compact Binary Mergers. Parameter estimates for O1 and O2 mergers. Sub-threshold BNS/NSBH/BBH candidates.
View Projecto2-bbh-pe
November 19, 2018 – April 26, 2019
Data Release of posterior samples from PyCBC Inference analysis of the binary black-hole signals GW170104, GW170608 and GW170814 in Advanced LIGO-Virgo's second observing run. This repository also includes configuration files and run scripts to run the analyses.
View Projectgw150914_investigation
November 7, 2018 – April 11, 2019
Investigating the noise residuals around the gravitational wave event GW150914
View Project1-ogc
November 5, 2018 – December 17, 2019
First Open Gravitational-wave Catalog of Compact Binary Mergers from Advanced LIGO's first observing run.
View Projectpycbc-inference-paper
July 10, 2018 – December 7, 2018
Data Release associated with the PyCBC Inference paper. This includes posterior samples for GW150914, LVT151012, and GW151226 along with configuration files and run scripts,
View Projectpegasus
February 4, 2013 – Present
Pegasus Workflow Management System - Automate, recover, and debug scientific computations.
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in academic research, specifically gravitational-wave astronomy. While this demonstrates deep expertise in a niche area, the diversity of projects and technologies outside of this domain is limited. The current role as 'Data Scientist' at Syracuse University aligns with the target role, but the breadth of experience for a general 'Data Scientist' role in a non-academic setting might be a concern. The candidate's experience level is listed as 0, which contradicts the 'Data Scientist' role, suggesting a potential data inconsistency or a very recent start in the role.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong focus on research and scientific computation, which implies analytical thinking and problem-solving skills. However, there is no direct data to assess communication, teamwork, or stress handling from the provided information.