Miaochen Jin
心有所向,日复一日,必有精进
Palfrey House
Laboratory for Particle Physics and Cosmology
Harvard University
18 Hammond St.
Cambridge, MA 02138
miaochenjin at g dot harvard dot edu
I am currently a third year doctorate student and Ph.D. Candidate in physics at Harvard University. My work spans a heterogeneous subset of neutrino physics, from neutrino oscillations and BSM phenomenology to machine learning and hardware experiments. I work with Professor Carlos A. Argüelles-Delgado, and am a member of the IceCube Collaboration. I recently finished a series of neutrino oscillation-related sensitivity analysis as well as some machine learning reconstruction algortihems, and am now focusing on charm hadron production in neutrino-neuclus DIS.
I engage in fun and fruitful conversations in a mandarin seminar with many other young physicists in the larger Boston Area that my friends and I started: I encourage you to check it out here. I have always held the belief that we all need an environment where we can talk about work and life in our mother tongues, and for us physicists, this is a seminar that fosters a sense of belonging and mutual support. To my surprise, many international friedns who speak mandarin as a second or third language have also joined us to make it a more inclusive and diverse space.
In my free time I enjoy camping, hiking, rock climbing and strength training. I am also a huge fan of anime, ACG arts, specifically Genshin Impact and Honkai Starrail. I have two very adorable cats, whose photos might randomly appear on my website in the short future, so make sure to check back here!
selected publications
- Comparison of Geometrical Layouts for Next-Generation Large-volume Cherenkov Neutrino Telescopes2024
- Boosting Neutrino Mass Ordering Sensitivity with Inelasticity for Atmospheric Neutrino Oscillation Measurement2024
- Two Watts is All You Need: Enabling In-Detector Real-Time Machine Learning for Neutrino Telescopes Via Edge Computing2023
- Measuring Oscillations with A Million Atmospheric Neutrinos2022
- New Clues About Light Sterile Neutrinos: Preference for Models with Damping Effects in Global Fits2022
- Accelerating IceCube Neutrino Event Reconstruction on Tensor Processing UnitsJul 2022