Miaochen Jin

心有所向,日复一日,必有精进

Personal_Photo.jpeg

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

  1. Comparison of Geometrical Layouts for Next-Generation Large-volume Cherenkov Neutrino Telescopes
    Tong Zhu, Miaochen Jin, and Carlos A. Argüelles
    2024
  2. Boosting Neutrino Mass Ordering Sensitivity with Inelasticity for Atmospheric Neutrino Oscillation Measurement
    Santiago Giner Olavarrieta, Miaochen Jin, Carlos A. Argüelles, Pablo Fernández, and 1 more author
    2024
  3. Two Watts is All You Need: Enabling In-Detector Real-Time Machine Learning for Neutrino Telescopes Via Edge Computing
    Miaochen Jin, Yushi Hu, and Carlos A. Argüelles
    2023
  4. Measuring Oscillations with A Million Atmospheric Neutrinos
    C. A. Argüelles, P. Fernández, I. Martínez-Soler, and Miaochen Jin
    2022
  5. New Clues About Light Sterile Neutrinos: Preference for Models with Damping Effects in Global Fits
    J. M. Hardin, I Martinez-Soler, A. Diaz, Miaochen Jin, and 4 more authors
    2022
  6. Accelerating IceCube Neutrino Event Reconstruction on Tensor Processing Units
    Miaochen Jin
    Jul 2022