i am interested in identifying the underlying dynamics of complex real-world systems. my research focuses on using machine learning to achieve this. currently i am a postdoctoral fellow in the epistasis lab at the institute for biomedical informatics at upenn. this group is dedicated to identifying the genetic causes of human disease from genome-wide association studies.

i collaborate with lots of researchers to better understand various processes, including the dynamics of wind turbines, the behavior of bald eagles that live near wind farms, wind and wave conditions at sea, and the dynamics of fluid-structure interaction, among others. i focus on developing concise models that can provide crucial insights to the people that work with these systems. here are some groups i work with

epistasis lab- my current research group
institute for bioinformatics at upenn
umass nsf wind igert program - nsf fellowship for offshore wind development
hampshire computational intelligence laboratory - research group i work with at hampshire college
nwtc - national wind technology center
gearbox reliability collaborative - nwtc project focused on improving gearbox reliability in wind turbines

most of the research methods i've developed are on my github page.

selected publications (bib)

>> La Cava, W., Silva, S., Vanneschi, L., Spector, L., and Moore, J. (2017). "Genetic programming representations for multi-dimensional feature learning in biomedical classification." Evo Applications, EvoStar 2017, Amsterdam, Netherlands.

>> La Cava, W. and Moore, J. (2017). "A general feature engineering wrapper for machine learning using epsilon-lexicase survival." 20th European Conference on Genetic Programming (EuroGP), Amsterdam, Netherlands.

>> La Cava, W., Sahare, K., Danai, K. (2017). "Restructuring Controllers to Accommodate Plant Nonlinearities." Journal of Dynamic Systems, Measurement, and Control. doi:10.1115/1.4035870

>> La Cava, W., Danai, K., Spector, L., (2016). "Inference of Compact Nonlinear Dynamic Models by Epigenetic Local Search." Engineering Applications of Artificial Intelligence. doi:10.1016/j.engappai.2016.07.004

>> La Cava, W., Spector, L., Danai, K. (2016). "epsilon-Lexicase selection for regression." Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). ACM, Denver, CO.

>> La Cava, W., Danai, K., Spector, L., Fleming, P., Wright, A., Lackner, M. (2015). "Automatic identification of wind turbine models using evolutionary multi-objective optimization." Renewable Energy. doi:10.1016/j.renene.2015.09.068

>> La Cava, W., and Danai, K. (2015). "Gradient-based adaptation of continuous dynamic model structures." International Journal of Systems Science. doi:10.1080/00207721.2015.1069905.

>> La Cava, W. and Lackner, M.A. (2015). Theory manual for the tuned mass damper module in FAST V8. doi:10.13140/rg.2.1.4565.9684

>> La Cava, W., Helmuth, T., Spector, L., Danai, K. (2015). "Genetic programming with epigenetic local search." Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). ACM, Madrid, Spain. nominated for best paper award

>> La Cava, W., Spector, L. (2014). “Inheritable epigenetics in genetic programming.” Genetic Programming Theory and Practice XII. Springer, 2014.

>> La Cava, W., Spector, L., Danai, K., Lackner, M. (2014). "Evolving differential equations with developmental linear genetic programming and epigenetic hill climbing." Companion Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). ACM, Vancouver, B.C.

>> Guo, Y., Keller, J., and La Cava, W. (2014). “Planetary gear load sharing of wind turbine drivetrains subjected to non-torque loads.” Wind Energy, March, 2014. doi:10.1002/we.1731.

>> La Cava, W., Guo, Y., Marks, C., Xing, Y. and Moan, T. (2013). “Three-dimensional bearing load share behaviour in the planetary stage of a wind turbine gearbox.” iet renewable power generation 7 (4): 359–69. doi:10.1049/iet-rpg.2012.0274.

>> La Cava, w., Xing, Y., Guo, Y., and Moan, T. (2012). “Determining wind turbine gearbox model complexity using measurement validation and cost comparison.” Proceedings of EWEA 2012, Copenhagen, Denmark, April 2012.

>> LaCava, W., McNiff, B., Guo, Yi (2012). “Gearbox Reliability Collaborative: investigation and model validation of sun orbit and planet load share in a wind turbine gearbox.” Proceedings of the 53rd AIAA Structures, Structural Dynamics and Materials Conference, Honolulu, HI, April 2012.

>> Keller, J., Guo, Y., LaCava, W., Link, H., McNiff, B. (2012). "Gearbox reliability collaborative phase 1 and 2: testing and modeling results." Preprint. 11 pp.; NREL Report No. CP-5000-55207.

>> LaCava, W., McNiff, B., van Dam, J., Wallen, R. (2011). “NREL Gearbox Reliability Collaborative: comparing in-field gearbox response to different dynamometer test conditions: preprint.” 27 pp.; NREL Report No. CP-5000-51690. AWEA Windpower 2011, Anaheim, California.

>> Sheng, S., Link, H., LaCava, W., van Dam, J., McNiff, B., Veers, P., Keller, J., Butterfield, S., Oyague, F. (2011). wind turbine drivetrain condition monitoring during GRC phase 1 and phase 2 testing. 58 pp.; NREL Report No. TP-5000-52748

>> Link, H., LaCava, W. et al. (2011). Gearbox Reliability Collaborative project report: findings from phase 1 and phase 2 testing. 88 pp.; NREL Report No. TP-5000-51885, June 2011.