Talks & Presentations
Posselt, D., Wilson, B., Storer, R., Tropf, D., Lall, V., et al. (2021) "Observing System Development and UQ in
a Parallel Bayesian Framework: Applications for Weather, Clouds, Convection, and Precipitation", 2021 Earth
Science Technology Forum, Laurel, Maryland.
AI
Physics
Parallel Computing
Posselt, D., Wilson, B., Storer, R., Tropf, D., Duffy, G., Lebsock, M., Lall, V., et al. (2021) ParOSSE: A
Flexible Parallel Bayesian Framework for Quantifying Uncertainty in Measurements and Retrievals of Clouds and
Precipitation. NASA Jet Propulsion Lab. AGU Presentation.
Physics
Parallel Computing
Suchow, J. W., Lall, V. (2020) Dallinger. Presented as a tutorial at the Max Planck Institute for Empirical
Aesthetics in Frankfurt, Germany.
Cognitive Science
Lall, V. H., Suchow, J. W., Malkomes, G., & Griffiths, T. L. (2019) Automated cognitive modeling with Bayesian
active model selection. Presented as a poster at ICCM 2019 in Montreal, Canada.
AI
Cognitive Science
Suchow, J. W., Morgan, T. J. H., Lall, V. H., et al. (2019) Fully automated behavioral experiments on cultural
transmission through crowdsourcing. Presented as a talk at SciPy in Austin, TX.
Cognitive Science
Lall, V. H., (2019) Dallinger: Crowdsourcing Intelligence. Presented as a three-day tutorial at the School of
Human Evolution and Social Change at Arizona State University in Phoenix, Arizona.
Cognitive Science
Suchow, J. W., Morgan, T. J. H., Lall, V. H., Hamrick, J. B., Meylan, S. C., & Griffiths, T. L. (2019) Fully
automated behavioral experiments on cultural transmission through crowdsourcing. Presented as a poster at
Collective Intelligence in Pittsburgh, PA.
Cognitive Science
Suchow, J. W., Morgan, T. J. H., Lall, V. H., et al. (2019) Fully automated behavioral experiments on cultural
transmission through crowdsourcing. Presented as a talk at SciPy in Austin, TX.
Cognitive Science
Suchow, J.W, Lall, V. H., Callaway, F., Pacer, M., & Griffiths, T.L. (2018) Towards closed-loop crowdsourcing
and human computation. The International Conference on Probabilistic Programming (PROBPROG) in Cambridge, MA.
Cognitive Science
Papers & Patents
Lall, V. H., Posselt, D., Wilson, B., Storer, R., (2024). The Parmap Python Library: Fast, Scalable, Cheap, and
Easy Serverless Computing (in preparation).
AI
Parallel Computing
Physics
Co-authored United States Patent No. 20200226325. Converting Unstructured Technical Reports to Structured
Technical Reports using Machine Learning (2020). Patent using techniques in supervised Natural Language
Processing to extract text from PDFs for domain-specific engineering documents.
AI
NLP
Suchow, J., Plotkin, J.B., Stewart, A., Morgan, T., Malkomes, G., Krafft, P.M., Lall, V., Arechar, A.A., Akcay,
E., Mosleh, M., and Morsky, B. (2018). Innovation in an adversarial collective sensing game. Published via the
Open Science Foundation.
Cognitive Science
Kamps, F.S., Lall, V., & Dilks, D.D. (2016). The occipital place area represents first-person perspective motion
information through scenes. Cortex, 83, 17-26.
Cognitive Science
Neuroscience