PhD Thesis Defended
Published:
Successfully defended my thesis today! Still have some revisions to factor in, and I want to get another paper submitted before graduation, but it’s nice to have the title of Doctor.
Posts by Tags
astronomy
Clustered SNe in 3D, MHD simulations
Published:
My most recent paper has been submitted to MNRAS and is now up on the arXiv:
Machine Learning with Alexie Leauthaud
Published:
Starting this spring I’ll be working Prof Alexie Leauthaud to use deep learning tools to better identify dwarf galaxies in the Hyper Suprime Cam (HSC) survey. When that survey’s completed, it’s expected to have >500 TB of imaging data, so our project is going to have to be pretty smart and efficient about how to get the best results in a reasonable amount of time. Right now the plan is to start with some “simpler” machine learning algorithms (like Random Forests) to filter out the objects that clearly aren’t the right type of galaxies, and then use multi-layered convolutional neural nets for our final classification.
Clustered SNe Paper Accepted
Published:
arXiv version: https://arxiv.org/abs/1606.01242
Starting with Piero Madau
Published:
In January 2016 I started working with Professor Piero Madau. To begin, I’ll be continuing the worked I started with Mark Krumholz, creating better models of SNe feedback.
Pictor A Work Published
Published:
Recently my paper on the emission mechanisms within Pictor A’s jet was accepted for publication by the Astrophysical Journal, and subsequently hit the arXiv. In short, we used the Hubble Space Telescope to collect data which showed that the observed X-ray emission couldn’t be produced through relativistically boosted inverse Compton scattering of the Cosmic Microwave Background (boosted IC-CMB).
Computational Fluids Project
Published:
The first quarter is over, my time as a Teaching Assistant has come to a close, so now it’s time to focus more on my research. With that has come a change in projects.
Entering Graduate School
Published:
In October, I’ll be entering the University of California at Santa Cruz, to start a PhD program in Astronomy and Astrophysics.
MIT Graduation
Published:
Graduated from MIT with a BS in Physics!
data science
Start at Microsoft Full Time
Published:
Just had my first day at Microsoft in Sunnyvale as a fulltime data + machine learning scientist. Looking forward to this new phase of my career!
Accepted Microsoft Data Science Internship (Summer 2018)
Published:
I’m excited to say that I’ll be in Bellevue, WA this summer, working at Microsoft as a Data Science Intern.
Data Science Internship at LendUp
Published:
For summer 2017 I’ll be working at LendUp, a FinTech startup in San Francisco. I’ll be doing very little astronomy June-Sept 2017, but I’ll get back into during fall 2017.
update
Start at Microsoft Full Time
Published:
Just had my first day at Microsoft in Sunnyvale as a fulltime data + machine learning scientist. Looking forward to this new phase of my career!
PhD Thesis Defended
Published:
Successfully defended my thesis today! Still have some revisions to factor in, and I want to get another paper submitted before graduation, but it’s nice to have the title of Doctor.
Clustered SNe in 3D, MHD simulations
Published:
My most recent paper has been submitted to MNRAS and is now up on the arXiv:
Accepted Microsoft Data Science Internship (Summer 2018)
Published:
I’m excited to say that I’ll be in Bellevue, WA this summer, working at Microsoft as a Data Science Intern.
Data Science Internship at LendUp
Published:
For summer 2017 I’ll be working at LendUp, a FinTech startup in San Francisco. I’ll be doing very little astronomy June-Sept 2017, but I’ll get back into during fall 2017.
Machine Learning with Alexie Leauthaud
Published:
Starting this spring I’ll be working Prof Alexie Leauthaud to use deep learning tools to better identify dwarf galaxies in the Hyper Suprime Cam (HSC) survey. When that survey’s completed, it’s expected to have >500 TB of imaging data, so our project is going to have to be pretty smart and efficient about how to get the best results in a reasonable amount of time. Right now the plan is to start with some “simpler” machine learning algorithms (like Random Forests) to filter out the objects that clearly aren’t the right type of galaxies, and then use multi-layered convolutional neural nets for our final classification.
Clustered SNe Paper Accepted
Published:
arXiv version: https://arxiv.org/abs/1606.01242
Starting with Piero Madau
Published:
In January 2016 I started working with Professor Piero Madau. To begin, I’ll be continuing the worked I started with Mark Krumholz, creating better models of SNe feedback.
Pictor A Work Published
Published:
Recently my paper on the emission mechanisms within Pictor A’s jet was accepted for publication by the Astrophysical Journal, and subsequently hit the arXiv. In short, we used the Hubble Space Telescope to collect data which showed that the observed X-ray emission couldn’t be produced through relativistically boosted inverse Compton scattering of the Cosmic Microwave Background (boosted IC-CMB).
Computational Fluids Project
Published:
The first quarter is over, my time as a Teaching Assistant has come to a close, so now it’s time to focus more on my research. With that has come a change in projects.
Entering Graduate School
Published:
In October, I’ll be entering the University of California at Santa Cruz, to start a PhD program in Astronomy and Astrophysics.
MIT Graduation
Published:
Graduated from MIT with a BS in Physics!