Samuel A. Nastase — CV

Education


PhD—Cognitive Neuroscience  December, 2017
Dartmouth College (advisor: James V. Haxby)

MSc—Cognitive Neuroscience  July, 2012
University of Trento (advisor: Uri Hasson)

BA—Cognitive Science, Philosophy  May, 2010
Johns Hopkins University (advisor: Michael McCloskey)

Employment


Postdoctoral Research Associate  February, 2018–present
Princeton University (advisor: Uri Hasson)

University Lecturer  February, 2021–present
Princeton University

Student Intern  June–August, 2016
Siemens Healthcare (advisor: Francisco Pereira)

Publications


Busch, E. L., Slipski, L., Feilong, M., Guntupalli, J. S., di Oleggio Castello, M. V., Huckins, J. F., Nastase, S. A., Gobbini, M. I., Wager, T., & Haxby, J. V. (2020). Hybrid hyperalignment: a single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity. NeuroImage, 233, 117975. DOI PDF

Wu, A., Nastase S. A., Baldassano, C., Turk-Browne, N. B., Norman, K. A., Engelhardt, B. E., & Pillow, J. W. (2021). Brain kernel: a new spatial covariance function for fMRI data. bioRxiv. DOI PDF

Levitis, E., Gould van Praag, C. D., Gau, R., Heunis, S., DuPre, E., Kiar, G., Bottenhorn, K., Glatard, T., Nikolaidis, A., Whitaker, K. J., Afyouni, S., Alonso-Ortiz, E., Appelhoff, S., Arnatkeviciute, A., Atay, S. M., Auer, T., Baracchini, G., Bayer, J. M. M., Beauvais, M. J. S., Bijsterbosch, J. D., Bilgin, I., P. Bollmann, S., Bollmann, S., Botvinik-Nezer, R., Bright, M. G., Calhoun, V. D., Chen, X., Chopra, S., Chuan-Peng, H., Close, T. G., Cookson, S. L., Craddock, R. C., De La Vega, A., De Leener, B., Demeter, D. V., Di Maio, P., Dickie, E. W., Eickhoff, S. B., Esteban, O., Finc, K., Frigo, M., Ganesan, S., Ganz, M., Garner, K. G., Garza-Villarreal, E. A., Gonzalez-Escamilla, G., Goswami, R., Griffiths, J. D., Grootswagers, T., Guay, S., Guest, O., Handwerker, D. A., Herholz, P., Heuer, K., Huijser, D. C., Iacovella, V., Joseph, M. J. E., Karakuzu, A., Keator, D. B., Kobeleva, X., Kumar, M., Laird, A. R., Larson-Prior, L. J., Lautarescu, A., Lazari, A., Haitz Legarreta, J., Li, X.-Y., Lv, J., Mancini, M., Mansour, S., Meunier, D., Moraczewski, D., Nandi, T., Nastase, S. A., Nau, M., Niso, G., Noble, S., Norgaard, M., Obungoloch, J., Oostenveld, R., Orchard, E. R., Pinho, A. L., Poldrack, R. A., Qui, A., Raamana, P. R., Rokem, A., Rutherford, S., Sharan, M., Shaw, T. B., Syeda, W. T., Testerman, M. M., Toro, R., Valk, S. L., Van Den Bossche, S., Varoquaux, G., Veldsman, M., Vohryzek, J., Váša, F., Wagner, A. S., Walsh, R. J., White, T., Wong, F.-T., Xie, X., Yang, Y-.F., Yan, C.-G., Yee, Y., Zanitti, G. E., Van Gulick, A. E., Duff, E., & Maumet, C. (2021). Centering inclusivity in the design of online conferences. PsyArXiv. DOI PDF

Gau, R., Noble, S., Heuer, K., Bottenhorn, K. L., Bilgin, I. P., Yang, Y.-F., Huntenburg, J. M., Bayer, J., Bethlehem, R. A. I., Rhoads, S. A., Vogelbacher, C., Borghesani, V., Levitis, E., Wang, H.-T., Van Den Bossche, S., Kobeleva, X., Haitz Legarreta, J., Guay, S., Atay, S. M., Varoquaux, G., Huijser, D. C., Sandström, M. S., Herholz, P., Nastase, S. A., Badhwar, A., Dumas, G., Schwab, S., Moia, S., Dayan, M., Bassil, Y., Brooks, P., Mancini, M., Shine, J. M., O’Connor, D., Xie, X., Poggiali, D., Friedrich, P., Riedl, L., Toro, R., Heinsfeld, A. S., Caballero-Gaudes, C., Eklund, A., Garner, K. G., Nolan, C. R., Demeter, D. V., Barrios, F. A., Merchant, J. S., McDevitt, E. A., Oostenveld, R., Craddock, R. C., Rokem, A., Doyle, A., Esper, N. B., Ghosh, S. S., Langs, G., Nikolaidis, A., Stanley, O. W., Uruñuela, E., Vohryzek, J., & The Brainhack Community. (2021). Brainhack: developing a culture of open, inclusive, community-driven neuroscience. PsyArXiv. DOI PDF

Williams, J. A., Margulis, E. H., Nastase, S. A., Chen, J., Hasson, U., Norman, K. A., Baldassano, C. (2021). High-order areas and auditory cortex both represent the high-level event structure of music. bioRxiv. DOI PDF

Nastase, S. A., Liu, Y.-F., Hillman, H., Zadbood, A., Hasenfratz, L., Keshavarzian, N., Chen, J., Honey, C. J., Yeshurun, Y., Regev, M., Nguyen, M., Chang, C. H. C., Baldassano, C., Lositsky, O., Simony, E., Chow, M. A., Leong, Y. C., Brooks, P. P., Micciche, E., Choe, G., Goldstein, A., Vanderwal, T., Halchenko, Y. O., Norman, K. A., & Hasson, U. (2020). Narratives: fMRI data for evaluating models of naturalistic language comprehension. bioRxiv. DOI PDF

Kumar, M., Anderson, M. J., Antony, J. W., Baldassano, C., Brooks, P. P., Cai, M. B., Chen, P.-H. C., Ellis, C. T., Henselman-Petrusek, G., Huberdeau, D., Hutchinson, J. B., Li, P. Y., Lu, Q., Manning, J. R., Mennen, A. C., Nastase, S. A., Richard, H., Schapiro, A. C., Schuck, N. W., Shvartsman, M., Sundaraman, N., Suo, D., Turek, J. S., Vo, V. A., Wallace, G., Wang, Y., Zhang, H., Zhu, X., Capota, M., Cohen, J. D., Hasson, U., Li, K., Ramadge, P. J., Turk-Browne, N. B., Willke, T. L., & Norman, K. A. (2020). BrainIAK: The Brain Imaging Analysis Kit. OSF Preprints. DOI PDF

Goldstein, A., Zada, Z., Buchnik, E., Schain, M., Price, A., Aubrey, B., Nastase, S. A., Feder, A., Emanual D., Cohen, A., Jensen, A., Gazula, H., Choe, G., Roa, A., Kim, C., Casto, C., Lora, F., Flinker, A., Devore, S., Doyle, W., Dugan, P., Friedman, D., Hassidim, A., Brenner, M., Matias, Y., Norman, K. A., Devinsky, O., & Hasson, U. (2020). Thinking ahead: prediction in context as a keystone of language in humans and machines. bioRxiv. DOI PDF

Nguyen, M., Chang, A., Micciche, E., Meshulam, M., Nastase, S. A., & Hasson, U. (2020). Teacher-student neural coupling during teaching and learning. bioRxiv. DOI PDF

Nastase, S. A., Goldstein, A., & Hasson, U. (2020). Keep it real: rethinking the primacy of experimental control in cognitive neuroscience. NeuroImage, 222, 117254. DOI PDF

Haxby, J. V., Guntupalli, J. S., Nastase, S. A., & Feilong, M. (2020). Hyperalignment: modeling shared information encoded in idiosyncratic cortical topographies. eLife, 9, e56601. DOI PDF

Nastase, S. A., Liu, Y.-F., Hillman, H., Norman, K. A., & Hasson, U. (2020). Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space. NeuroImage, 217, 116865. DOI PDF

Willems, R., Nastase, S. A., & Milivojevic, B. (2020). Narratives for neuroscience. Trends in Neurosciences, 43(5), 271–273. DOI PDF

Hasson, U., Nastase, S. A., & Goldstein, A. (2020). Direct fit to nature: an evolutionary perspective on biological and artificial neural networks. Neuron, 105(3), 416–434. DOI PDF

Haxby, J. V., Gobbini, M. I., & Nastase, S. A. (2020). Naturalistic stimuli reveal a dominant role for agentic action in visual representation. NeuroImage. DOI PDF

Nastase, S. A., Gazzola, V., Hasson, U., & Keysers, C. (2019). Measuring shared responses across subjects using intersubject correlation. Social Cognitive and Affective Neuroscience, 14(6), 667–685. DOI PDF

Lin, X., Sur, I., Nastase, S. A., Divakaran, A., Hasson, U., & Amer, M. R. (2019). Data-efficient mutual information neural estimator. arXiv, arXiv:1905.03319. DOI PDF

Feilong, M., Nastase, S. A., Guntupalli, J. S., Haxby, J. V. (2018). Reliable individual difference in fine-grained cortical functional architecture. NeuroImage, 138, 375–386. DOI PDF

Van Uden, C. E.*, Nastase, S. A.*, Connolly, A. C., Feilong, M., Hansen, I., Gobbini, M. I., Haxby, J. V. (2018). Modeling semantic encoding in a common neural representational space. Frontiers in Neuroscience, 12, 437. DOI PDF

Nastase, S. A., Halchenko, Y. O., Connolly, A. C., Gobbini, M. I., Haxby, J. V. (2018). Neural responses to naturalistic clips of behaving animals in two different task contexts. Frontiers in Neuroscience, 12, 316. DOI PDF

Nastase, S. A., Davis, B., Hasson, U. (2018). Cross-modal and non-monotonic representations of statistical regularity are encoded in local neural response patterns. NeuroImage, 173, 509–517. DOI PDF

Nastase, S. A., Connolly, A. C., Oosterhof, N. N., Halchenko, Y. O., Guntupalli, J. S., Visconti di Oleggio Castello, M., Gors, J., Gobbini, M. I., & Haxby, J. V. (2017). Attention selectively reshapes the geometry of distributed semantic representation. Cerebral Cortex, 27(8), 4277–4291. DOI PDF

Nastase, S. A., & Haxby, J. V. (2017). Structural Basis of Semantic Memory. In J. H. Byrne (Ed.), Learning and Memory: A Comprehensive Reference (2nd ed., pp. 133–151). Cambridge, MA: Academic Press. DOI PDF

Nastase, S. A., Davis, B., Halchenko, Y. O., & Hasson, U. (2016). Cross-modal searchlight classification: methodological challenges and recommended solutions. Paper presented at the 2016 IEEE International Workshop on Pattern Recognition in Neuroimaging (PRNI). DOI PDF

Connolly, A. C., Sha, L., Guntupalli, J. S., Oosterhof, N. N., Halchenko, Y. O., Nastase, S. A., Visconti di Oleggio Castello, M., Abdi, H., Jobst, B. C., Gobbini, M. I., & Haxby, J. V. (2016). How the human brain represents perceived dangerousness or “predacity” of animals. Journal of Neuroscience, 36(19), 5373–5384. DOI PDF

Nastase, S. A., Iacovella, V., Davis, B., and Hasson, U. (2015). Connectivity in the human brain dissociates entropy and complexity of auditory inputs. NeuroImage, 108, 292–300. DOI PDF

Nastase, S. A., Iacovella, V. and Hasson, U. (2014). Uncertainty in visual and auditory series is coded by modality-general and modality-specific neural systems. Human Brain Mapping, 35(4), 1111–1128. DOI PDF

Invited talks


Nastase, S. A. (2021, April). Developing a community resource for natural language neuroimaging. Invited talk at University of Michigan, Ann Arbor, MI. DOI slides

Nastase, S. A. (2021, March). The neuroscience of storytelling. Invited talk at the Council on Science and Technology “Voices of STEM” virtual workshop at Princeton University, Princeton, NJ. slides

Nastase, S. A. (2021, March). Scaling up to a more ecological (and reproducible) cognitive neuroscience. Invited talk at the Courtois Project on Neuronal Modelling (CNeuromod), Montreal, QC, Canada. DOI slides

Nastase, S. A. (2021, February). Developing community resources for reproducible neuroimaging. Invited talk at the Princeton University Library “Research Inside-Out: Shifting the conversation to research-as-process” panel discussion at Princeton University, Princeton, NJ. DOI slides

Nastase, S. A. (2020, December). Scaling up to a more ecological (and reproducible) cognitive neuroscience. Invited talk at Johns Hopkins University, Baltimore, MD. DOI slides

Nastase, S. A. (2020, November). Rethinking the primacy of experimental control in cognitive neuroscience. Invited talk at the Donders Session on “Narratives for Neuroscience” at the Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands. DOI slides Crowdcast

Nastase, S. A. (2020, November). Scaling up to a more ecological (and reproducible) cognitive neuroscience. Invited talk at the Nathan Kline Institute for Psychiatric Research, Orangeburg, NY. DOI slides

Nastase, S. A. (2020, June). The benefits of BIDS. Invited talk for the TrainTrack educational series at OHBM Brainhack 2020. DOI slides OSF YouTube

Nastase, S. A. (2020, May). Direct fit: an ecological perspective on biological and artificial neural networks. Invited talk at the Neural-AI Reading Group at Mila, Montreal, Canada. DOI slides

Nastase, S. A. (2020, February). Scaling up to a more ecological (and reproducible) cognitive neuroscience. Invited talk at Columbia University, New York, NY. DOI slides

Nastase, S. A. (2019, August). Estimating a shared response space across heterogeneous naturalistic story-listening data sets. Invited talk at the Center for Cognitive Neuroscience workshop on “Semantic processing and semantic knowledge” at Dartmouth College, Hanover, NH. DOI slides YouTube

Nastase, S. A. (2017, November). Aligning fine-grained functional topographies across individuals. Invited talk at Brainhack DC, Washington, DC.

Nastase, S. A. (2017, August) Primacy of observed action representation during natural vision. Invited talk at the Center for Cognitive Neuroscience workshop on “Action understanding: from kinematics to mind” at Dartmouth College, Hanover, NH. DOI YouTube

Nastase, S. A. & Haxby, J. V. (2016, November). Constructing a representational atlas for human cerebral cortex. Invited talk at the Neurocog 2016 workshop at Katholieke Universiteit Leuven, Leuven, Belgium. DOI

Nastase, S. A. (2015, June). Multivariate pattern analysis for neuroscience. Invited talk at the Dartmouth-Hitchcock Medical Center, Lebanon, NH.

Open data


OpenNeuro ds002345
Nastase, S. A., Liu, Y.-F., Hillman, H., Zadbood, A., Hasenfratz, L., Keshavarzian, N., Chen, J., Honey, C. J., Yeshurun, Y., Regev, M., Nguyen, M., Chang, C. H. C., Baldassano, C. B., Lositsky, O., Simony, E., Chow, M. A., Leong, Y. C., Brooks, P. P., Micciche, E., Choe, G., Goldstein, A., Halchenko, Y. O., Norman, K. A., & Hasson, U. Narratives: fMRI data for evaluating models of naturalistic language comprehension. DOI

OpenNeuro ds000233
Nastase, S. A., Halchenko, Y. O., Connolly, A. C., Gobbini, M. I., Haxby, J. V. (2018). Neural responses to naturalistic clips of behaving animals in two different task contexts. DOI

Open code


Brain Imaging Analysis Kit (BrainIAK)
Kumar, M., Anderson, M. J., Antony, J. W., Baldassano, C., Brooks, P. P., Cai, M. B., Chen, P.-H. C., Ellis, C. T., Henselman-Petrusek, G., Huberdeau, D., Hutchinson, J. B., Li, P. Y., Lu, Q., Manning, J. R., Mennen, A. C., Nastase, S. A., Richard, H., Schapiro, A. C., Schuck, N. W., Shvartsman, M., Sundaraman, N., Suo, D., Turek, J. S., Vo, V. A., Wallace, G., Wang, Y., Zhang, H., Zhu, X., Capota, M., Cohen, J. D., Hasson, U., Li, K., Ramadge, P. J., Turk-Browne, N. B., Willke, T. L., & Norman, K. A. (2020) BrainIAK: The Brain Imaging Analysis Kit. DOI website GitHub

Princeton Handbook for Reproducible Neuroimaging
Brooks, P. P., McDevitt, E. A., Mennen, A. C., Visconti di Oleggio Castello, M., & Nastase, S. A.. (2020). Princeton Handbook for Reproducible Neuroimaging. DOI Handbook

Intersubject correlation tutorial
Nastase, S. A., Gazzola, V., Hasson, U., & Keysers, C. (2019). Measuring shared responses across subjects using intersubject correlation. DOI GitHub

Teaching


Lecturer—Neuroscience: From Molecules to Systems to Behavior  Spring, 2021
Princeton University (co-lecturers: Jonathan Cohen, Leigh Nystrom)

Teaching assistant—Systems Neuroscience with Lab  Fall, 2015
Dartmouth College (instructors: Jeffrey Taube, Matthijs van der Meer)

Teaching assistant—Brain Mapping with fMRI  Winter, 2015
Dartmouth College (instructor: Won Mok Shim)

Teaching assistant—Lab in Psychological Science  Spring, 2014
Dartmouth College (instructor: Jonathan Freeman)

Teaching assistant—Introduction to Neuroscience   Fall, 2013
Dartmouth College (instructor: Catherine Cramer)

Teaching fellow—Art, Mind & Brain  Summer, 2013
Harvard University (instructors: David Melcher, Francesca Bacci)

Teaching fellow—Windows into the Structure of Mind & Brain  Summer, 2011–2012
Harvard University (instructors: Alfonso Caramazza, John Assad)

Teaching fellow—Cutting Edge Neuroscience in Film & Television  Summer, 2012
Harvard University (instructor: George Alvarez)

Teaching fellow—Hormones, Brain & Behavior  Summer, 2011
Harvard University (instructor: Marc Tetel)

Awards


ReproNim/INCF Fellow  2019
ReproNim: A Center for Reproducible Neuroimaging Computation
International Neuroinformatics Coordinating Facility (INCF)

Merit Abstract Award  May, 2015
Organization for Human Brain Mapping

Neukom Travel Grant  May, 2015
The William H. Neukom Institute for Computational Science

Marie A. Center 1982 Graduate Award for Excellence in Teaching  June, 2014
Department of Psychological & Brain Sciences, Dartmouth College

Student Council Conference Travel Grant April, 2014
Graduate Student Council, Dartmouth College

Graduate Travel Award April, 2014
Dartmouth Graduate Studies, Dartmouth College

Trainee Abstract Travel Award  March, 2014
Organization for Human Brain Mapping

Merit Award  December, 2012
Psychology & Cognitive Sciences Department, University of Trento

Community


Volunteer reviewer: Canada Foundation for Innovation, Cerebral Cortex, Communications Biology, Frontiers in Neuroscience, Human Brain Mapping, Journal of Experimental Psychology: Human Perception and Performance, Journal of Neurophysiology, Journal of Neuroscience, Journal of Open Source Software, Journal of the International Neuropsychological Society, Mind, Brain, and Education, National Science Foundation, Nature, Nature Communications, NeuroImage, NeuroImage: Reports, Neuropsychologia, PLOS One, PLOS Computational Biology, Proceedings of the National Academy of Sciences of the United States of America, Psychophysiology, Science, Scientific Data, Social Cognitive and Affective Neuroscience, Social Neuroscience.

Society membership: Organization for Human Brain Mapping, Society for Neuroscience, Vision Sciences Society, Cognitive Neuroscience Society

Mentorship
Zaid Zada, graduate student, Hasson Lab, Princeton University
Sade Abiodun, graduate student, Hasson Lab, Princeton University
Jamal Williams, graduate student, Norman Lab, Princeton University
Paula Brooks, graduate student, Norman Lab, Princeton University
Anne Mennen, graduate student, Norman Lab, Princeton University
Anqi Wu, graduate student, Pillow Lab, Princeton University
Cara E. Van Uden, undergraduate research assistant, Haxby Lab, Dartmouth College
Rebecca E. Philip, undergraduate research assistant, Gobbini Lab, Dartmouth College
Anwesh Dash, undergraduate honor’s thesis, Gobbini Lab, Dartmouth College

Events
Brainhack Princeton 2020, Princeton University—organizer (December, 2020)
Neuroimaging Analysis Methods (NIAM) seminar series, Princeton University—organizer (2019–present)
Brainhack Princeton 2019, Princeton University—organizer (November, 2019)
Dartmouth CCN Workshop, Dartmouth College—organizer (August, 2019)
Neurohackademy, University of Washington—attendee (July, 2019)
Kavli Summer Institute in Cognitive Neuroscience—attendee (June, 2019)
OHBM Brainhack 2019, Rome—attendee (June, 2019)
Pygers Reproducible Neuroimaging support group—organizer (2018—present)
OHBM Brainhack 2018, Singapore—attendee (June, 2018)
Dartmouth CCN Workshop, Dartmouth College—organizer (August, 2017)
Brainhack Dartmouth 2017, Dartmouth College—organizer (March, 2017)
Brainhack LA 2016, UCLA—attendee (November, 2016)
Dartmouth CCN Workshop, Dartmouth College—organizer (August, 2016)
AFNI Boot Camp, Dartmouth College—organizer (September, 2016)
Professional Ethics Program, Dartmouth College—instructor (September, 2014)
AFNI Boot Camp, Dartmouth College—organizer (September, 2014)
Cognitive Brown Bag symposium series, Dartmouth College—organizer (2014–2016)
fMRI Brown Bag symposium series, Dartmouth College—organizer (2013–2017)

Media


ORCID, Google Scholar, GitHub, Publons, ResearchGate, Twitter

TechTalks—Artificial neural networks are more similar to the brain than they get credit for

Medical Xpress—A perspective on the study of artificial and biological neural networks

Nature—Credit data generators for data reuse

Wired—The Rogue Neuroscientist on a Mission to Hack Peer Review