🔗 Check out my personal website Here!
• Hunting for Fast Radio Bursts (FRBs) with the 25-m Dwingeloo Radio Telescope (DRT) at ASTRON, the Netherlands 🇳🇱 📡 Project Repo
My name is Max Fine. I'm a graduate student studying Physics & Astrophysics at the University of Amsterdam. This summer, I am working at Astron. I earned my undergraduate degree from the University of Toronto (with Honors) in Canada! I am originally from St. Augustine, Florida.
While I currently live in the Netherlands, I hold dual citizenship in the USA and Canada, which enables me to work & live in both countries. As a UofT graduate, I additionally qualify for the High Potential Individual visa (UK work visa).
When I'm not studying the stars, you can often find me exploring cafes and searching for the perfect latte. If it is not raining, playing frisbee in a park. I enjoy reading and tickering with Raspberry Pis.
My dream is to live the adventurous life of a scientific researcher. I would like to earn a PhD in radio astronomy related to FRBs, and serve in the Peace Corps teaching high school math and science for two years abroad.
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On the left is me standing by the 25-m Dwingeloo Radio Telescope (DRT) at ASTRON, and the right is me with the other 2024 ASTRON/JIVE interns at the European Space Agency (ESA).
I have a keen interest in Fast Radio Bursts, both in finding them, and using them to study the cosmos. I am further interested in data science for radio & multimessenger astronomy - including algorithm, software development, and machine learning. I think finding exoplanets, and Gravitational Wave astronomy is neat.
My research background includes Hunting Fast Radio Burst (FRB) using the 25m Dwingeloo Radio Telescope, algorithm development for studying rotation measure (used to study magnetic fields in space), error testing a data
analysis pipeline for Polarization Sky Survey of the Universe's Magnetism (POSSUM), and Hunting FRBs with multimessenger astronomy using the Swift/Bat X-ray space telescope.
I am highly skilled in Python, Linux, specializing in packages such as Numpy, Scipy, Matplotlib, Pytorch, Pandas, Scikit-Learn, RM-TOOLS, and Astropy. I am skilled in data analysis, Bayesian analysis, time-series analysis, algorithm development, Fourier analysis, signal processing, machine learning, deep learning, big data (Tb Scale), Bash, Docker, Git, cloud computing, and scientific computing. I have contributed significantly to the open-source scientific Python package RM-TOOLS, resulting in a published first author scientific paper in the Monthly Notices of the Royal Astronomy Society. I am additionally experienced in: C++, SQL, AWS, Kubernetes.
• Anything astronomy!
• RaspberryPi projects
• Data Science projets
• Open Science & Educational Projects
