About

Professional Summary

Ph.D. physicist with 8+ years of experience in experimental and computational research, specializing in X-ray diffraction, scattering, and imaging. Expertise in AI-driven imaging techniques, GPU-accelerated data analysis, and instrument development for advanced materials characterization. Proven track record of leading research projects, optimizing data pipelines, and mentoring students. Passionate about leveraging modern computational techniques to solve complex scientific and industrial challenges.

Experience

Postdoctoral Appointee

Argonne National Laboratory (June 2023 - Present)

  • Conduct state-of-the-art X-ray diffraction, scattering, and imaging experiments, optimizing data acquisition and 3D tomographic reconstruction techniques using AI-enhanced workflows
  • Work with high-resolution X-ray detectors, precision instrumentation/control systems, imaging hardware, and reconstruction techniques
  • Implement GPU-accelerated image processing with CUDA for large-scale ptychography data processing and PyTorch-based convolutional neural network (CNN) training/testing/validating
  • Collaborate with beamline scientists and researchers to streamline data pipelines, improving imaging throughput and enhancing experimental efficiency

Research Assistant

Northwestern University (September 2017 - June 2023)

  • Investigated the self-assembly of soft nanostructures and biomaterials through synchrotron X-ray scattering experiments and HPC-accelerated molecular dynamics (MD) simulations, uncovering tunable electrostatic mechanisms for shape control
  • Designed and executed synchrotron X-ray scattering experiments at national lab beamlines to probe nanoscale structural evolution in soft matter systems
  • Developed automated Python and Bash-based data processing pipelines, extracting structural parameters from scattering data and other experimental datasets
  • Engineered a custom dual-view microscope, enabling real-time tracking and control of colloidal suspensions for in-situ optical characterization

Teaching Assistant

Northwestern University (September 2018 - June 2020)

  • Instructed and guided students through physics/materials science lectures and laboratory exercises, integrating modern computational tools (Jupyter, Python) to enhance hands-on learning

AP Calculus Instructor & Program Director

Yeshiva Ohr Yisrael (September 2016 - June 2017)

  • Developed and taught AP Calculus curriculum, preparing students for high AP exam performance
  • Directed the physics enrichment program, managed a Duolingo-based language initiative, and coordinated gym activities

Technical Expertise

Experimental Techniques

  • X-ray scattering
  • Diffraction
  • Ptychography
  • Tomography
  • Phase retrieval
  • Fluorescence imaging
  • Titration
  • Atomic force microscopy
  • Circular dichroism

Computational & AI

  • Python
  • MATLAB
  • Linux/Unix OS
  • Bash
  • Git
  • MD simulations
  • GPU acceleration
  • Deep learning (PyTorch)
  • LLMs (GPT, Cursor)

Instrumentation & Communication

  • X-ray detectors
  • Beamline control (EPICS)
  • Interferometers
  • Custom instrumentation
  • Real-time data acquisition
  • Scientific presentations
  • Technical writing
  • Mentoring
  • Interdisciplinary collaboration

Volunteer Work

Research Experience for Undergraduates (REU) Mentor

Mentee: Hasan Al Saeedi (Summer 2022)

"A Python-Based Jupyter Notebook Guide for X-ray Diffraction Techniques"

Baseball Coach

Jamaica Plain Regan Youth League (April 2010 - August 2015)

Awards & Organizations

  • Hierarchical Materials Science Cluster Program Fellowship
  • Center for Computation and Theory of Soft Materials (CCTSM)
  • Sigma Pi Sigma Physics Honor Society