David Feng, Ph.D.
Associate Director, Technology
David Feng leads a team that builds data and analysis products for the Allen Institute for Brain Science. His responsibilities include engineering data analysis pipelines to support high-throughput data collection platforms, open source software development, and community engagement via workshops and training sessions. Prior to joining the Institute, David completed a Ph.D. at the University of North Carolina at Chapel Hill where he studied data visualization techniques in supporting the diagnosis of brain tumors using MR spectroscopy. David received a B.S. and M.S. in computer science with a specialization in computer graphics from Northwestern University.
Research
Research Interests
I specialize in making scientific data and software accessible throughout the product development lifecycle. I enjoy building visualization tools and analysis modules to help ensure data integrity, highlight salient features of a data set, and support ongoing research in neuroscience. Once data is ready, my primary aim is to open the data, results and software to as wide an audience as possible through workshops, presentations and hackathons.
Expertise
- Informatics
- Data visualization
- Software engineering
Research Programs
- Mesoscale Connectivity
- Neural Coding
- IVSCC
- MAT
Selected Publications View on PUBMED
Biological variation in the sizes, shapes and locations of visual cortical areas in the mouse
bioRxiv
September 12, 2018
Waters J, Lee E, Gaudreault N, Griffin F, Lecoq J, Slaughterbeck C, Sullivan D, Farrell C, Perkins J, Reid D, Feng D, Graddis N, Garrett M, Li Y, Long F, Mochizuki C, Roll K, Zhuang J, Thompson C
BioNet: A Python interface to NEURON for modeling large-scale networks
PLOS | ONE
August 2, 2018
Gratiy SL, Billeh YN, Dai K, Mitelut C, Feng D, Gouwens NW, Cain N, Koch C, Anastassiou CA, Arkhipov A
Classification of electrophysiological and morphological types in mouse visual cortex
bioRxiv
July 17, 2018
Gouwens NW, Sorensen SA, Berg J, Lee C, Jarsky T, Ting J, Sunkin S, Feng D, Anastassiou C, Barkan E, Bickley K, Blesie N, Braun T, Brouner K, Budzillo A, Caldejon S, Casper T, Castelli D, Chong P, Crichton K, Cuhaciyan C, Daigle T, Dalley R, Dee N, Desta T, Dingman S, Doperalski A, Dotson N, Egdorf T, Fisher M, de Frates RA, Garren E, Garwood M, Gary A, Gaudreault N, Godfrey K, Gorham M, Gu H, Habel C, Hadley K, Harrington J, Harris J, Henry A, Hill D, Josephsen S, Kebede S, Kim L, Kroll M, Lee B, Lemon T, Liu X, Long B, Mann R, McGraw M, Mihalas S, Mukora A, Murphy GJ, Ng L, Ngo K, Nguyen TN, Nicovich PR, Oldre A, Park D, Parry S, Perkins J, Potekhina L, Reid D, Robertson M, Sandman D, Schroedter M, Slaughterbeck C, Soler-Llavina C, Sulc J, Szafer A, Tasic B, Taskin N, Teeter C, Thatra N, Tung H, Wakeman W, Williams G, Young R, Zhou Z, Farrell C, Peng H, Hawrylycz MJ, Lein E, Ng L, Arkhipov A, Bernard A, Phillips J, Zeng H, Koch C
bioRxiv
June 29, 2018
de Vries S, Lecoq J, Buice MA, Groblewski PA, Ocker GK, Oliver M, Feng F, Cain N, Ledochowitsch P, Millman D, Roll K, Garrett M, Keenan T, Kuan L, Mihalas S, Olsen S, Thompson C, Wakeman W, Waters J, Williams D, Barber C, Berbesque N, Blanchard B, Bowles N, Caldejon S, Casal L, Cho A, Cross S, Dang C, Dolbeare T, Edwards M, Galbraith J, Gaudreault N, Griffin F, Hargrave P, Howard R, Huang L, Jewell S, Keller N, Knoblich U, Larkin J, Larsen R, Lau C, Lee E, Lee F, Leon A, Li L, Long F, Luviano J, Mace K, Nguyen T, Perkins J, Robertson M, Seid S, Shea-Brown E, Shi J, Sjoquist N, Slaughterbeck C, Sullivan D, Valenza R, White C, Williford A, Witten D, Zhuang J, Zeng H, Farrell C, Ng L, Bernard A, Phillips JW, R Reid C, Koch C
An anatomic transcriptional atlas of human glioblastoma
Science
May 11, 2018
Puchalski RB, Shah N, Miller J, Dalley R, Nomura SR, Yoon JG, Smith KA, Lankerovich M, Bertagnolli D, Bickley K, Boe AF, Brouner K, Butler S, Caldejon S, Chapin M, Datta S, Dee N, Desta T, Dolbeare T, Dotson N, Ebbert A, Feng D, Feng X, Fisher M, Gee G, Goldy J, Gourley L, Gregor BW, Gu G, Hejazinia N, Hohmann J, Hothi P, Howard R, Joines K, Kriedberg A, Kuan L, Lau C, Lee F, Lee H, Lemon T, Long F, Mastan N, Mott E, Murthy C, Ngo K, Olson E, Reding M, Riley Z, Rosen D, Sandman D, Shapovalova N, Slaughterbeck CR, Sodt A, Stockdale G, Szafer A, Wakeman W, Wohnoutka PE, White SJ, Marsh D, Rostomily RC, Ng L, Dang C, Jones A, Keogh B, Gittleman HR, Barnholtz-Sloan JS, Cimino PJ, Uppin MS, Keene CD, Farrokhi FR, Lathia JD, Berens ME, Iavarone A, Amy Bernard A, Lein E, Phillips JW, Rostad SW, Cobbs C, Hawrylycz MJ, Foltz GD
The organization of intracortical connections by layer and cell class in the mouse brain
bioRxiv
April 18, 2018
Harris JA, Mihalas S, Hirokawa KE, Whitesell JD, Knox J, Bernard A, Bohn P, Caldejon S, Casal L, Cho A, Feng D, Gaudreault N, Gerfen C, Graddis N, Groblewski PA, Henry A, Ho A, Howard R, Kuan L, Lecoq J, Luviano J, McConoughey S, Mortrud M, Naeemi M, Ng L, Oh SW, Ouellette B, Sorensen SA, Wakeman W, Wang Q, Williford A, Phillips J, Jones A, Koch C, Zeng H
Generalized leaky integrate-and-fire models classify multiple neuron types
Nature Communications
February 19, 2018
Teeter C, Iyer R, Menon V, Gouwens N, Feng D, Berg J, Szafer A, Cain N, Zeng H, Hawrylycz M, Koch C, Mihalas S
Systematic generation of biophysically detailed models for diverse cortical neuron types
Nature Communications
February 19, 2018
Gouwens NW, Berg J, Feng D, Sorensen SA, Zeng H, Hawrylycz MJ, Koch C, and Arkhipov A
Systematic generation of biophysically detailed models for diverse cortical neuron types
Nature Communications
February 19, 2018
Gouwens NW, Berg J, Feng D, Sorensen SA, Zeng H, Hawrylycz MJ, Koch C, Arkhipov A
Visual physiology of the Layer 4 cortical circuit in silico
PLoS Computational Biology
November 12, 2018
Arkhipov A, Gouwens NW, Billeh YN, Gratiy S, Iyer R, Wei Z, Xu Z, Berg J, Buice M, Cain N, da Costa N, de Vries S, Denman D, Durand S, Feng D, Jarsky T, Lecoq J, Lee B, Li L, Mihalas S, Ocker GK, Olsen SR, Reid RC, Soler-LLavina G, Sorensen SA, Wang Q, Waters J, Scanziani M, Koch C
Automatic navigation system for the mouse brain
bioRxiv
October 13, 2018
Tappan S, Eastwood BS, O'Connor N, Wang Q, Ng L, Feng D, Hooks B, Gerfen CR, Hof PR, Schmitz S, Glaser JR
Exploration and visualization of connectivity in the adult mouse brain
Methods
February 2015
Feng D, Lau C, Ng L, Li Y, Kuan L, Sunkin SM, Dang C, Hawrylycz M
Frontiers in Neuroscience
August 21, 2014
Vied CM, Freudenberg F, Wang Y, Raposo AA, Feng D, Nowakowski RS
A mesoscale connectome of the mouse brain
Nature
April 2, 2014
Oh SW, Harris JA, Ng L, Winslow B, Cain N, Mihalas S, Wang Q, Lau C, Kuan L, Henry AM, Mortrud MT, Ouellette B, Nguyen TN, Sorensen SA, Slaughterbeck CR, Wakeman W, Li Y, Feng D, Ho A, Nicholas E, Hirokawa KE, Bohn P, Joines KM, Peng H, Hawrylycz MJ, Phillips JW, Hohmann JG, Wohnoutka P, Gerfen CR, Koch C, Bernard A, Dang C, Jones AR, Zeng H
An anatomically comprehensive atlas of the adult human brain transcriptome
Nature
December 2012
Hawrylycz MJ, Lein ES, Guillozet-Bongaarts AL, Shen EH, Ng L, Miller JA, van de Lagemaat LN, Smith KA, Ebbert A, Riley ZL, Abajian C, Beckmann CF, Bernard A, Bertagnolli D, Boe AF, Cartagena PM, Chakravarty MM, Chapin M, Chong J, Dalley RA, Daly BD, Dang C, Datta S, Dee N, Dolbeare T, Faber V, Feng D, Fowler DR, Goldy J, Gregor BW, Haradon Z, Haynor DR, Hohmann JG, Horvath S, Howard RE, Jeromin A, Jochim JM, Kinnunen M, Lau C, Lazarz ET, Lee C, Lemon TA, Li L, Li Y, Morris JA, Overly CC, Parker PD, Parry SE, Reding M, Royall JJ, Schulkin J, Sequeria PA, Slaughterbeck CR, Smith SC, Sodt AJ, Sun
Large-scale neuroinformatics for in situ hybridization data in the mouse brain
International Review of Neurobiology
2012
Ng LL, Sunkin SM, Feng DF, Lau C, Dang C, Hawrylycz MJ