Hanchuan Peng

Hanchuan Peng Email and Phone Number

An Inventor for Open, Big Image Data / AI Tools, and Brain Science @ University of Georgia
Hanchuan Peng's Location
Seattle, Washington, United States, United States
Hanchuan Peng's Contact Details
About Hanchuan Peng

Dr. Hanchuan Peng (Fellow, IEEE and AIMBE) is both a computer scientist and a life scientist. He was the Director for Advanced Computing at Allen Institute for Brain Science (Seattle), and also built the first Big Image Computing team of Janelia, HHMI. He has contributed to build a number of Open Source tools focused on Big Data and AI related to imaging especially bioimaging and medical imaging to study several key challenges related to brain and intelligence. Particularly, he has invented a series of revolutionary technologies to generate, manage, visualize, analyze, and understand massive-scale structure and function data related to brains for both basic research and medical applications. He was also an affiliate/adjunct faculty member/professor with multiple universities (e.g. University of Washington, University of Georgia). Peng serves as steering committee chairs for both the Bioimage Informatics conferences and the Brain Informatics conferences, and the co-Editor-in-Chief of the journal Brain Informatics (Springer Nature), and the Section [Chief] Editor of BMC Bioinformatics overseeing the section of imaging, bioimage analysis, and data visualization. Peng is the inventor, leader, and a highly cited author of a number of machine learning/artificial intelligence/pattern analysis/image analysis/data mining algorithms, software/hardware systems, brain-mapping techniques and resources, including Vaa3D (Nature Biotech 2010; Nature Protocols, 2014; Nature Communications 2014, 2019), BrainAligner (Nature Methods, 2011), UltraTracer (Nature Methods, 2017), SmartScope (Nature Communications, 2014), mRMR (IEEE-TPAMI, 2005; a top-10 popular paper in TPAMI since 2005), 3D Virtual Finger (Nature Biotech 2010; Nature Communications, 2014), SmartACT (Scientific Reports 2015), TeraFly (Nature Methods, 2016), TeraVR (Nature Communications, 2019), 3D brain maps for worm, fly, and mouse (Nature Methods, 2009; Cell, 2009; Nature Methods, 2011; Nature, 2014), a worldwide single neuron bench-testing initiative BigNeuron (http://bigneuron.org; Neuron, 2015), etc. Peng was a co-recipient of USA National Academy of Sciences’ Cozzarelli Prize (2013), and other awards. His work has been reported in Nature News, Science News, Science, NPR, NBC, etc.

Hanchuan Peng's Current Company Details
University of Georgia

University Of Georgia

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An Inventor for Open, Big Image Data / AI Tools, and Brain Science
Hanchuan Peng Work Experience Details
  • Bioimage Informatics Conferences
    Founder And Chair Of Steering Committee
    Bioimage Informatics Conferences 2005 - Present
    The annual conference of Bioimage Informatics, a relatively new sub-field of computational biology and bioinformatics.I started to advocate this emerging field since 2003 and prompted the open exchange of advances in this field by organizing a focused research conference series first at Stanford in 2005.
  • University Of Georgia
    Adjunct Professor
    University Of Georgia Aug 2014 - Present
    Athens, Ga, Us
    An adjunct faculty position in the computer science department of Univ of Georgia (USA)
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  • University Of Washington
    Affiliate Professor
    University Of Washington Jul 2015 - Present
    Seattle, Wa, Us
    An affiliate faculty position with the biological structure department, University of Washington (USA)
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  • Allen Institute For Brain Science
    Director, Advanced Computing
    Allen Institute For Brain Science Sep 2012 - Nov 2019
    Seattle, Washington, Us
    Leads a Big Brain Data research group. See the following links at** http://penglab.com ** http://bigneuron.org ** http://vaa3d.org** https://www.alleninstitute.org/what-we-do/brain-science/about/team/staff-profiles/hanchuan-peng/
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  • Bmc Bioinformatics (Journal)
    Section Editor
    Bmc Bioinformatics (Journal) 2011 - Dec 2018
    Oversee and edit the Section of Imaging, image analysis and data visualization.This section incorporates all aspects of imaging and bioimage informatics, including but not limited to: microscopic and biomedical image acquisition methods and applications, methods and applications of image analysis and related machine learning, pattern recognition and data mining techniques, image oriented multidimensional data and metadata visualization techniques, methods and applications of bioimage annotation and ontology generation.http://www.biomedcentral.com/bmcbioinformatics/sections/imaging_image_analysis_and_data_visualization
  • Bioinformatics (Journal)
    Editorial Board
    Bioinformatics (Journal) 2012 - Dec 2015
    Helped create the new Bioimage Informatics category, parallel to several more conventional categories (such as gene expression analysis, sequence analysis, etc.) covered by the journal.For more information, see http://bioinformatics.oxfordjournals.org/content/28/8/1057.full
  • Janelia Farm Research Campus, Howard Hughes Medical Institute (Hhmi)
    Lab Head And Senior Scientist
    Janelia Farm Research Campus, Howard Hughes Medical Institute (Hhmi) Jan 2006 - Sep 2012
    Chevy Chase, Maryland, Us
    Led a Big Image Data group for bioimage analysis & mining; constructed 3D brain maps for animals at single cell/neuron resolution and built a series of other high-performance bioimage informatics tools including Vaa3D (http://vaa3d.org), BrainAligner, NeuronTracer, etc.At the same time, two major pieces of scientific resources (or "findings") I contributed directly are the first 3D digital atlas of single cells of C. elegans (with Gene Myers, Fuhui Long, Xiao Liu, and Stuart Kim) and the first 3D stereotypy atlas of neurite fiber tracts of an adult fruit fly brain (with Julie Simpson, et al). For both systems, we mapped the 3D invariance (deviation) of patterns at the single cell or single neurite tract resolution. One may use these invariance information combined with the 3D digital maps to guide machines (and microscopes) to automatically measure the gene expression or manipulate the "circuits" of these systems at the single cell/neurite-tract resolution.For more information, see my web page http://penglab.com for many publications. Three representative papers are the following:** Vaa3D, The Swiss Army Knife for multi-dimensional large images: http://www.nature.com/nbt/journal/v28/n4/full/nbt.1612.html (Nature Biotechnology, 2010)** 3D Fly brain digital atlas: http://www.nature.com/nmeth/journal/v8/n6/full/nmeth.1602.html (Nature Methods, 2011)** 3D C. elegans (worm) digital atlas: http://www.nature.com/nmeth/journal/v6/n9/full/nmeth.1366.html (Nature Methods, 2009)Several of my systems developed at Janelia have been used significantly. For instance, in Gerry Rubin's FlyLight project (Cell Reports 2012), my BrainAligner system was used to register >50,000 3D imaged fly brains in a 24/7 way, using an accurate, fully automated, nonlinear registration algorithm I invented (Reliable Landmark Matching, or RLM, published in Nature Methods (2011)).
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  • Lawrence Berkeley National Laboratory
    Postdoc
    Lawrence Berkeley National Laboratory May 2002 - Dec 2005
    Berkeley, Ca, Us
    Machine learning, data mining, artificial intelligence, computational biology, microscopy, high-performance computing.During this period I did two major studies, among a few other smaller things. First, I invented with Chris Ding the currently widely used Minimum-Redundancy Maximum-Relevance (mRMR) feature/variable selection method for machine learning, data mining, and pattern recognition. I also established the information theory of this method, after proposing the first definition of multivariate mutual information and a way to factorize it using low-dimensional approximation. This makes mRMR one of the most robust, efficient, and accurate feature selection methods. mRMR has been one of top-cited feature selection studies in the last 10 years (with about 5,000 citations since 2005), and has become the basis of a number of exciting recent work in related fields. The IEEE TPAMI'2005 paper about mRMR remains to be a current top-10 most accessed/downloaded papers in TPAMI after its publication 12 years ago (for more information, see http://penglab.janelia.org/proj/mRMR/index.htm and http://home.penglab.com/papersall/docpdf/2005_TPAMI_FeaSel.pdf )Second, I worked with Gene Myers and Michael Eisen on the pioneering work of gene expression analysis for fruitfly embryos' images. With them, I published the first image analysis paper for gene expression patterns in RECOMB conferences, and an early method for mining DNA sequence motifs from heterogeneous datasets of genomes of evolutionarily related fruitfly species and their gene expression images. During this time I began my career in Bioimage Informatics, a new field I started to advocate since 2003.
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  • Johns Hopkins University
    Postdoc
    Johns Hopkins University Jul 2000 - May 2002
    Baltimore, Md, Us
    Medical image analysis, data mining.Proposed the first Bayesian morphometry algorithm for MRI data (with Ed Herskovits and Christos Davatzikos), and applied to Alzheimer's Disease and mild cognitive impairment studies.
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Hanchuan Peng Skills

Bioinformatics Machine Learning Microscopy Computational Biology Algorithms Image Analysis Pattern Recognition Image Processing Neuroscience Molecular Biology Matlab Life Sciences Fluorescence Microscopy Cell Biochemistry Computer Vision Genomics Biomedical Engineering Statistics Signal Processing Cell Biology Confocal Microscopy Scientific Computing Dna R In Vivo Imaging Genetics Visualization Fluorescence Biophysics Lifesciences Protein Expression Electron Microscopy Digital Imaging Medical Imaging

Hanchuan Peng Education Details

  • Lawrence Berkeley National Lab
    Lawrence Berkeley National Lab
    Imaging
  • The Johns Hopkins University School Of Medicine
    The Johns Hopkins University School Of Medicine
    Biomedical/Medical Engineering
  • Southeast University
    Southeast University
    Biomedical Engineering

Frequently Asked Questions about Hanchuan Peng

What company does Hanchuan Peng work for?

Hanchuan Peng works for University Of Georgia

What is Hanchuan Peng's role at the current company?

Hanchuan Peng's current role is An Inventor for Open, Big Image Data / AI Tools, and Brain Science.

What is Hanchuan Peng's email address?

Hanchuan Peng's email address is ha****@****ail.com

What is Hanchuan Peng's direct phone number?

Hanchuan Peng's direct phone number is +170372*****

What schools did Hanchuan Peng attend?

Hanchuan Peng attended Lawrence Berkeley National Lab, The Johns Hopkins University School Of Medicine, Southeast University.

What are some of Hanchuan Peng's interests?

Hanchuan Peng has interest in Business Strategy, Money, Physics, Technology, Singers And Musicians, Science, Lean Startups, Songs, Business Models, Finance.

What skills is Hanchuan Peng known for?

Hanchuan Peng has skills like Bioinformatics, Machine Learning, Microscopy, Computational Biology, Algorithms, Image Analysis, Pattern Recognition, Image Processing, Neuroscience, Molecular Biology, Matlab, Life Sciences.

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