Husni Almoubayyed

PhD Candidate at Carnegie Mellon

Location
Carnegie Mellon University, Wean Hall, 5000 Forbes Ave, 15213, Pittsburgh, PA, United States
Email
Phone
+1 (412) 345-1875

Education

Ph.D. in Physics from Carnegie Mellon University

Courses

    MS in Physics from Carnegie Mellon University

    Courses

      BSc (Hons) in Physics & Astrophysics from University of Glasgow, with Honours of the First Class

      Courses

        Experience

        present

        Graduate Researcher at Carnegie Mellon University

        As a member of the Dark Energy Science Collaboration for the Large Synoptic Survey Telescope, I:

        Highlights

        • leed efforts to design an optimal 10-year telescope strategy to minimize uncertainties related to weak gravitational lensing and measuring cosmological parameters.
        • contributed to numerically-validated python library named the Core Cosmology Library

        Teaching Assistant at Carnegie Mellon University

        Won best teaching assistant award, for leading recitations for intro and intermediate physics courses, designingcomputational physics labs, and integrating active-learning and tech-assisted teaching in physics courses.

        Highlights

          Undergraduate Researcher at University of Glasgow

          As part of 2017 Nobel Prize-winning project, LIGO, used bayesian statistics to set upper limits on gravitational-wave signal from the sun, using 1.5 years of time-series data.

          Highlights

            Undergraduate Researcher at Durham University

            Developed highly-parallelized python and C code to mitigate the bias on cosmological parameters induced due to inevitable constraints on placement of fibers in the largest spectroscopic instrument in the world, DESI

            Highlights

              Leadership

              AstroPGH Hack Hour, Founder & Organizer

              Founded and currently organize CMU/Pitt Hack Hour, a biweekly seminar series since 2017, whereg raduate students in the physical sciences peer-teach advanced scientific programming.

              HackCMU 2018, Mentor & Judge

              Mentored CMU’s 24 hours beginner hackathon, HackCMU, organized by ACM@CMU. Judged the submissions and awarded prizes.

              Communication

              Journal papers on Google Scholar

              2 papers with 35 citations

              Conference talks

              6 talks at international conferences and colloquia in the US, UK, S. Korea and Germany

              Poster presentations

              4 posters at conferences and workshops

              Programming Skills

              Python
              Level: ~4 years of experience
              Keywords:
              • Scikit-learn
              • TensorFlow
              • Keras
              • NumPy
              • SciPy
              • Pandas
              • Jupyter
              • Seaborn
              • Matplotlib
              Javascript
              Level:
              Keywords:
              • Processing.js
              • Node.js
              • D3.js
              Other Programming
              Level:
              Keywords:
              • R
              • Matlab
              • Mathematica
              • Unix/Bash shell
              • LaTeX

              Interests

              Retail investing: including short selling and options trading
              Keywords:
                Music: I play piano and drums and write and record electronic music. Recently, I created using deep learning and Long Short-Term Memory neural networks.
                Keywords:

                  © Husni Almoubayyed 2018. All rights reserved.