Peng Yin

About

Peng Yin is an Assistant Professor of Ethics at the Boston University School of Theology. His scholarly work focuses on comparative religious ethics, Chinese Christianity, and the intersections of religion and sexuality. He has authored the book 'Persisting in the Good: Thomas Aquinas and Early Chinese Ethics,' which explores the intelligibility of moral language across different religious traditions. Yin is engaged in a second book project titled 'The Mutations of Natural Law,' examining the political implications of Thomistic natural law from Thomas Aquinas to early modern Chinese reformers, including figures like Richard Hooker and Montesquieu. Yin's research includes articles on method in comparative theology and religious ethics, Confucian ethics, and historiography of homoeroticism in Confucian and Christian contexts. His work has been published or is forthcoming in various academic journals such as Modern Theology, Journal of Religious Ethics, Journal of the Society of Christian Ethics, and GLQ: A Journal of Lesbian and Gay Studies. At Boston University, he serves as Core Faculty in the Women’s, Gender, and Sexuality Studies Program and as Affiliated Faculty in the Department of Classical Studies, Global Medieval Studies, and the Center for the Study of Asia.

Research topics

• Biology
• Computational biology
• Genetics
• Cell biology
• Computer Science
• Materials science
• Mathematics
• Nanotechnology
• Biophysics
• Anatomy

Selected publications

• Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP)

  Nature Cell Biology · 2023 · 170 citations

  PublisherOA PDFDOI

• Cryosectioning-enhanced super-resolution microscopy for single-protein imaging across cells and tissues

  bioRxiv (Cold Spring Harbor Laboratory) · 2024-02-05 · 3 citations

  preprintOpen access

  DNA-PAINT enables nanoscale imaging with virtually unlimited multiplexing and molecular counting. Here, we address challenges, such as variable imaging performance and target accessibility, that can limit its broader applicability. Specifically, we enhance its capacity for robust single-protein imaging and molecular counting by optimizing the integration of TIRF microscopy with physical sectioning, in particular, Tokuyasu cryosectioning. Our method, tomographic & kinetically enhanced DNA-PAINT (…

  PublisherOA PDFDOI

• SABER-FISH–Signal amplification for multiplexed fluorescence in situhybridization assays v1

  2025-02-14

  preprintOpen accessSenior author

  The SABER Technology The Signal Amplification By Exchange Reaction (SABER) method is used for amplifying signal from multiplexed in situ fluorescence staining experiments. Developed by the Yin and Cepko labs at Harvard University and the Wyss Institute, the technique uses Primer Exchange Reactions (PERs) to generate three-letter (A, T, C) concatemeric sequences in bulk in vitro reactions. These concatemers can then be in situ hybridized to fixed cells and tissues and act as scaffolds that locali…

  PublisherOA PDFDOI

• Measurement noise scaling laws for cellular representation learning.

  PubMed · 2025-03-04

  preprintOpen access

  Deep learning scaling laws predict how performance improves with increased model and dataset size. Here we identify measurement noise in data as another performance scaling axis, governed by a distinct logarithmic law. We focus on representation learning models of biological single cell genomic data, where a dominant source of measurement noise is due to molecular undersampling. We introduce an information-theoretic metric for cellular representation model quality, and find that it scales with s…

  PublisherOA PDF

Recent grants

• Decoding chromosome structure with multiplexed super-resolution microscopy

  NIH · $2.5M · 2018–2023

• Casting Inorganic Nanostructure Arrays with 3D DNA Crystal Molds

  NSF · $427k · 2013–2017

• Super-resolution imaging via programmable autonomous blinking

  NIH · $690k · 2013–2018

Frequent coauthors

• Ralf Jungmann

  Max Planck Institute of Biochemistry

  90 shared

• Mingjie Dai

  China University of Geosciences

  58 shared

• Yu Wang

  50 shared

• Bryan Wei

  Tsinghua University

  48 shared

• Jocelyn Y. Kishi

  44 shared

• Sinem K. Saka

  Harvard University

  43 shared

• Luvena L. Ong

  Janssen (United States)

  38 shared

• Wei Sun

  Shanghai Zhangjiang Laboratory

  37 shared

Education

• Ph.D., Computer Science

  Duke University

  2005

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