Hey there! 👋 I'm a second year undergrad at the University of Toronto and a Laidlaw Scholar. I spend most of my time thinking about deep learning, astronomy/physics, distributed computing and the nature of intelligence itself. I hope to leverage these one day to help better understand our universe.
Currently, I'm involved in two research projects. Firstly at Caltech I am investigating the usage of deep reinforcement learning to control LIGO's locking acquisition with Dr. Gabriele Vajente. The dream is to one day use these intelligent systems to assist controlling LIGO itself. Secondly, I'm involved with the UC Berkeley SETI Research Center on developing geometric deep learning models to help search the nearest 1 million stars for signs of life beyond Earth using the MeerKAT telescope with Dr. Cherry Ng , Dr. Andrew Siemion and the Breakthrough Listen team! We're bringing together some of the most powerful instruments to tackle the question: are we alone in the universe?
When I'm not busy teaching computers how to hunt for aliens or how to control big lasers, I love climbing and sometimes making art! Hit me up if you want to come say hi! Twitter @peterma02 and email: peterxy.ma [at] gmail [dot] com.
Here are some more details about me:
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 (2021) The first deep-learning search for radio technosignatures from 820 nearby stars Under Review Nature Astronomy
Intern Researcher: June 2022
I will be working on tackling non-linear dynamic control problems using machine learning. I will be specifically investigating using attention-based state estimators and reinforcement learning for LIGO's locking acquisition with Dr. Gabriele Vajente.
Researcher Assistant: Dec 2021 - Apr 2022
Work on developing realistic Fast Radio Burst Simulations and develop machine learning models for FRB detection with the CHIME/FRB project. I am greatful to have worked under Prof. Bryan Gaensler! The goal is to one day use these detections to help astronomers answer questions regarding the origins of our universe.
Intern Researcher: June 2020 - Present
Previously I explored how deep neural nets like Disentangled B-VAE's can search 820 stars for technosignatures. My first paper was submitted for publication to Nature Astronomy!
Volunteer Researcher: May 2022 - Present
I work on developing Natural Language Processing models for text classification in building the sustainable development goal (SDG) data catalogue pipeline. The goal is to help build tools that power data driven policy making in achieving the 17 SDG goals set by the UN.
University of Toronto - Math and Physics Specialist 2020-2024: GPA 3.93/4.0
Unionville High School 2016-2020
Python 3 🐍 [proficient]- TF, Numpy, Pytorch, JAX, Flask, Pandas etc.
Java 11 LTS ☕ [proficient]
HTML CSS [proficient]- Bootstrap and Responsive Design