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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is an essay I wrote as part of my graduate applications on how I came to the realization that urban planning is one of the most impactful factors affecting our lives, and how it slips under our radars.
Short description of portfolio item number 1
Short description of portfolio item number 2
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Applying Bayesian conditional density estimation simulation inference to traffic simulations of the Seattle area.
NeuRIPS – Conference on Neural Information Processing Systems (spotlight), 2023
Asanobu Kitamoto, Jared Hwang, Bastien Vuillod, Lucas Gautier, Yingtao Tian, Tarin Clanuwat
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Developing a simulation code from the ground up for Radio Frequency Quadrupoles (RFQs). Designed to support existing simulation infrastructure, accurately simulate space-charge (interaction between charged particles), and parallelization. Faster and more scientifically accurate than existing alternatives!
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Building tools with ML for analyzing neutrino detector images from a Liquid Argon Time Projection Chamber. Using a VQVAE to compress large image files, and performing instance segmentation on the LArTPC images to extract neutrino trails.
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Preparing, publishing, and using the Digital Typhoon Dataset for machine learning. The dataset is the longest typhoon satellite image dataset available. We developed ways to interact with the dataset for ML, and performed benchmarks in analysis, reanalysis, and forecasting.
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Discussing approaches, tasks, and challenges to using machine learning with the Digital Typhoon Dataset. Flyer here.
Undergraduate core course, Tufts University
Fall 2018, Fall 2019
TA for ∼120 students. Held weekly office hours; graded exams and assignments. Syllabus here (link may not be active at time of access).
Undergraduate core course, Tufts University
Spring 2020
TA for ∼100 students. Graded exams and assignments. Held weekly office hours. Syllabus here.
Graduate course, University of Southern California
Fall 2022
TA for ~200 students. Held weekly office hours, wrote homework and exam questions. Graded assignments and exams. Syllabus here.