Research & Technical Expertise
Bridging extreme astrophysics with advanced data science; from magnetar outbursts to automated transient pipelines.
My work exists at the intersection of high-energy time-domain astrophysics and advanced signal processing. Using the world's leading radio and X-ray observatories, I investigate the physics of coherent radio emission and extreme magnetospheres. Simultaneously, I develop the automated pipelines, statistical algorithms, and HPC workflows required to process massive, real-time datasets from next-generation sky surveys.
Scientific Focus: The Dynamic Time-Domain Sky
Magnetar Outbursts & The FRB Connection
Magnetars are currently the leading progenitor candidates for Fast Radio Bursts (FRBs). However, the exact trigger mechanisms and energy partition during an outburst remain unsolved. My research focuses on the multi-wavelength evolution of these extreme events. I have led deep X-ray and radio campaigns during the reactivations of SGR J1935+2154 [Ibrahim et al. 2024] and Swift J1818.0–1607 [Ibrahim et al. 2023] , integrating data from XMM-Newton, NuSTAR, and the VLA to characterize their broadband spectral and timing evolution.
Long Period Transients & White Dwarf Pulsars
Recent discoveries of ultra-long period radio transients are challenging the fundamental limits of pulsar physics. I am particularly interested in understanding the magnetospheric mechanisms powering these objects, and testing whether 'magnetic bridges' hypothesized for white dwarf binaries share acceleration physics with magnetars. I am currently leading an archival search for coherent radio emission from isolated magnetic white dwarfs (e.g., ZTF J1901+1458) using dynamic spectra analysis on ASKAP and VAST data.
AI-Generated Audio Overview
Listen to an AI-generated 'Deep Dive' podcast discussing the findings, implications, and physics of my first-author publications on magnetar outbursts.
[ NotebookLM Audio Embed Slot ]
This section is reserved for an embedded audio player from NotebookLM. Once generated, the audio will provide a conversational overview of key research findings and their broader implications for time-domain astrophysics.
Technical & Methodological Expertise
Pipeline Automation & Architecture
Leading the development of the transient search module for the eBANDERAS pipeline (eROSITA). Designing automated detection workflows that apply statistical variability tests to massive streams of survey lightcurves, preparing architectures for real-time deployment.
High-Performance Computing (HPC)
Extensive experience utilizing GPU/CPU clusters for heavy-duty cycles of data reduction. Proficient in processing TB-scale datasets from interferometers like LOFAR and ASKAP, optimizing signal processing algorithms for production-scale environments.
Data Science & Time-Series Analysis
Expert in Python and Bash scripting for complex data wrangling. Specializing in time-series analysis, aperiodic variability, dynamic spectra, and signal processing of noisy, multi-dimensional astronomical datasets.
Instruments & Tooling
X-Ray Observatories
XMM-Newton, NuSTAR, NICER, Swift/XRT, eROSITA, Integral
Radio Interferometers
VLA, ASKAP, LOFAR, NRT
Scientific Software
HEASOFT, SAS, XSPEC, TEMPO2, PSRCHIVE, CASA
Programming
Python (SciPy, Pandas, Astropy), Bash, Linux/Unix environments
Next Steps
I am actively seeking Postdoctoral Fellowships in time-domain radio/X-ray astronomy, as well as roles in Data Science, Space Tech, and Software Engineering within industry. My expertise spans advanced scientific research and dependable pipeline development.