Research and Development
Personal research and projects page with interests in deep learning, computational astro and high performance computing and others...
Research: CERN | McGill | Caltech | Berkeley | UofT School: University of Toronto
<< HomeHere is a collection of ongoing and previous research projects. My interests currently lie in leveraging ML to solve hard problems in experimental physics and astronomy.
Coming soon
Electronics for CERN ATLAS Liquid Argon Calorimeter
Developing FPGA's for ML and signal processing!
ProposalJune 2022 - Sept 2022
Deep Learning for LIGO Locking Control Acquisition
State-estimators and reinforcement learning!
Preprint Paper Watch TalkDec 18th 2022 - Jan 21st 2023
A Deep Neural Network Based Reverse Radio Spectrogram Search Algorithm
Preprint
Jan 10th 2022 - April 8th 2022
Machine Learning Fast Radio Bursts Detection
Boosting and Ensemble Methods for RFI Sifting!
Report Watch Talk
Sept 4th 2020 - Nov 20th 2021
A Deep Learning Search for Technosignatures of 820 Stars
Read our Nature Astronomy paper!
Read Paper! Read BlogHere is a collection of ongoing and completed open source projects. Contains work that still mostly deals with research work. Mixture of high performance computing projects, some simulation base projects and more!
Jan 2nd 2022 - Present
MeerKATgen
MeerKAT radio telescope simulation package. Designed with Just In Time compile (JIT) and XLA backed vectroization.
Open Source Code >>>Jan 2nd 2022 - Present
Breakthrough Listen Armada
Internal "custom orchestration" for some distributed ML work. Used to spawn workloads to process data.
Open Source Code >>>Aug 30th 2020 - June 15th 2020
Breakthrough Listen Scale
Kubernetes/cloud accelerated astronomy search platform. Scaling astronomy to the cloud
Open Source Code >>>Ma, P. Ng, C. Rizk, L, Croft, S . Siemion, S P. V. Brzycki, B . Czech, D, Drew, Jamie. Gajjar, V. Hoang, J. Isaacson, H.Lebofsky, M, MacMahon, D. de Pater, I. Price, D.C. Sheikh S Z. Worden, P (2023) A deep-learning search for radio technosignatures from 820 nearby stars Nature Astronomy - Published here
Ma, P. Vajente, G. (2023) A Deep Learning Technique to Control the Non-linear Dynamics of a Gravitational-wave Interferometer Accepted to Classical and Quantum Gravity - Published here
Ma, P. Croft, S . Siemion, S P. V. (2023) A Deep Neural Network Based Reverse Radio Spectrogram Search Algorithm Accepted to RAS Techniques and Instruments - Published here
I've learned a tremendous amount from my mentors and supervisors from various formal and informal experiences. I would not be here if it wasn't for their guidance. Many of these people took a bet on me even during a time when I had nothing to offer back (yet). I can't thank them enough! [In no order]
Dr. Cherry Ng - National Center for Scientific Research France (CNRS) | Staff Astronomer
Prof. Bryan Gaensler - UC Santa Cruz | Dean of Physical and Biological Sciences
Dr. Andrew Siemion - UC Berkeley | Director SETI Research Center
Prof. Brigitte Vachon - McGill CERN ATLAS Experimental Particle Physics Group | PI
Prof. Vardan Papyan- University of Toronto Dept. Mathematics / Computer Science | Assistant Professor
Dr. Gabriele Vajente - Caltech | Deputy, Head of System Science and Engineering LIGO
Dr. Steve Croft - UC Berkeley | UC Berkeley SETI Project Scientist
Dr. Keir K. Rogers.- University of Toronto Dunlap Institute for Astronomy & Astrophysics | Dunlap Fellow
Dr. Laurance Doyle - SETI Institute
Navid Nathoo - Founder of the Knowledge Society
Nadeem Nathoo - Founder of the Knowledge Society