Publications (Peer Reviewed / Submitted)

Holder, C., Gnanadesikan, A., Aude-Pradal, M., 2022. Using neural network ensembles to separate ocean biogeochemical
and physical drivers of phytoplankton biogeography in Earth system models. Geoscientific Model
Development 15: 1595-1617. doi:10.5194/gmd-15-1595-2022

Arora-Williams, K., Holder, C., Secor, M., Ellis, H., Xia, M., Gnanadesikan, A., Preheim, S.P., 2022. Abundant
and persistent sulfide-oxidizing microbial populations are responsive to hypoxia in the Chesapeake Bay.
Environmental Microbiology. doi: 10.1111/1462-2920.15976

Holder, C., Gnanadesikan, A., 2021. Can machine learning extract the mechanisms controlling phytoplankton growth from
large-scale observations? - A proof of concept study. Biogeosciences 18, 1941-1970, https://doi.org/10.5194/bg-18-1941-2021.

Pinto, P.X., Al-Abed, S.R., Holder, C.D., Warner, R., McKernan, J., Fulton, S., Sommerville, E., 2018. Assessing the impact
of removing select materials from coal mine overburden, Central Appalachia Region, USA. Mine Water and the Environment 37 (1), 31-41.

Pinto, P.X., Al-Abed, S.R., Holder, C., Reisman, D.J., 2014. Evaluation of metal partitioning and mobility in a
sulfidic mine tailing pile under oxic and anoxic conditions. Journal of Environmental Management 140, 135-144.

Publications (Preprint)

Holder, C., Gnanadesikan, A., 2022. Earth system models capture the general trends of phytoplankton detected in
observations. Earth and Space Science Open Archive [preprint]. doi: 10.1002/essoar.10510654.1

Publications (In prep)

Preheim, S., Morris, S., Holder, C., Arora-Williams, K., Gnanadesikan, A., Jin, R., Aude-Pradal, M., 2021 (In Prep) Linking
genes, rates, and environmental variables in Chesapeake Bay.

Datasets

Holder, C., Gnanadesikan, A. Aude-Pradal, M., 2021. Dataset and scripts for manuscript "Using Neural Network Ensembles
to Separate Biogeochemical and Physical Components in Earth System Models."" Zenodo. http://doi.org/10.5281/zenodo.4774437

Holder, C., Gnanadesikan, A., 2020. Dataset and scripts for manuscript "Can machine learning extract the mechanisms
controlling phytoplankton growth from large-scale observations? - A proof of concept study."" Zenodo. http://doi.org/10.5281/zenodo.3932387

Webinars

Holder, C., 2020. Machine Learning and Some Potential Uses in Oceanography. Oral presentation
as part of the 2020 Ocean Carbon & Biogeochemistry Summer Webinar Series.
https://www.youtube.com/watch?v=L8-A2nJ0A-Q&feature=emb_imp_woyt

Conference Presentations and Posters

Holder, C., Gnanadesikan, A., 2022. Using random forests to identify the main drivers of
phytoplankton in observations and CMIP6 models. Oral presentation at the Ocean Sciences
Meeting 2022, Virtual Conference, 24 Feb - 4 Mar.

Gnanadesikan, A., Preheim, S., Morris, S., Holder, C., Zhang, Y., Gensbigler, P., Hinton, A.,
Arora-Williams, K., Jin, R., Aude-Pradal, M., 2022. Major trends and environmental correlates of
spatiotemporal shifts in the distribution of genes compared to those expected using a biogeochemical
model in the Chesapeake Bay. Oral presentation at the Ocean Sciences Meeting 2022,
Virtual Conference, 24 Feb - 4 Mar.

Arora-Williams, K., Gnanadesikan, A., Preheim, S., Holder, C., 2021. Sequence-based techniques
investigating the microbial response to hypoxia to inform Chesapeake Bay biogeochemical models.
Presented (virtual) at 2021 Coastal & Estuarine Research Federation Virtual Conference.

Holder, C., Gnanadesikan, A., 2021. Relative Importance of Biogeochemical Variables for Phytoplankton
in CMIP6 Models. Poster presentation (virtual) at the 2021 Ocean Carbon & Biogeochemistry Summer
Workshop, Woods Hole, MA.

Preheim, S., Morris, S., Holder, C., Gnanadesikan, A., 2021. Gene distributions and biogeochemical
cycling in the Chesapeake Bay. Poster presentation (virtual) at the 2021 Ocean Carbon & Biogeochemistry
Summer Workshop, Woods Hole, MA.

Holder, C., 2021. Characterizing the Differences in Earth System Models using Machine Learning. Oral
presentation (virtual) as part of the University of Maryland - Oceans Lunch Seminar Series.

Holder, C., Gnanadesikan, A., Aude-Pradal, M., 2020. Using Neural Network Ensembles to Differentiate
Biology and Physics in Earth System Models. Poster presentation (virtual) at the 2020 Energy Exascale
Earth System Model Fall Meeting, Arlington, VA.

Holder, C., Gnanadesikan, A., Aude-Pradal, M., St-Laurent, P., 2020. Utilizing Machine Learning to Find
Variable Interactions in the Chesapeake Bay. Oral presentation (virtual) at the 2020 Chesapeake Community
Research Symposium, Annapolis, MD.

Holder, C., Gnanadesikan, A. 2020. Using Machine Learning to Find Relationships in Oceanographic Datasets
[OD43A-05] Oral presentation at the Ocean Sciences Meeting 2020, San Diego, CA, 16-21 Feb.

Holder, C., Gnanadesikan, A., 2019. Using Neural Network Ensembles as Model Comparators. Poster presentation
at the 2019 Energy Exascale Earth System Model Fall Meeting, Arlington, VA.

Holder, C., Gnanadesikan, A., 2019. Using Neural Network Ensembles to Evaluate Phytoplankton Size Classes in a
Biogeochemical Model. Poster presentation at the 2019 Chemical Oceanography Gordon Research
Conference, Holderness, NH.

Holder, C., Gnanadesikan, A., 2019. Comparing Biogeochemical Model Outputs using Neural Network Ensembles.
Poster presentation at the 2019 Ocean Carbon & Biogeochemistry Summer Workshop, Woods Hole, MA.

Holder, C.D., Gnanadesikan, A., 2018. Visualizing Variable Interactions in a Biogeochemical Model using Random
Forests and Neural Networks [OS21C-1587] Presented at 2018 AGU Fall Meeting, Washington, D.C., 10-14 Dec.

Holder, C.D., Gnanadesikan, A., 2018. Random Forests and a Potential Function in the Chesapeake Bay. Poster
presentation at the 2018 Ocean Carbon & Biogeochemistry Summer Workshop, Woods Hole, MA.

Holder, C.D., Gnanadesikan, A., 2018. Random Forests and their Application in the Chesapeake Bay. Poster
presentation at the 2018 National Science Foundation Integrated Graduate Education and Research Traineeship
(IGERT) Colloquium, Baltimore, MD.

Holder, C.D., Gnanadesikan, A., 2018. Random Forests and their Applications in Estuarine Science. Poster
presentation at the 2018 Chesapeake Community Research and Modeling Symposium, Annapolis, MD.

Holder, C.D., Gnanadesikan, A., 2018. Uncovering the Drivers of Chlorophyll Variability in the
North Atlantic using Random Forests [BN14D-1050] Poster presentation at the 2018 Ocean Sciences Meeting,
Portland, OR, 12-16 Feb.

Preheim, S. Sakowski, E., Gnanadesikan, A., Holder, C., Arora-Williams, K., 2017. Dynamics of microbial
diversity and biogeochemical processes in the Chesapeake Bay dead-zone. Presented at the 2017 Ecological
Society of America Annual Meeting, Portland, OR.

Holder, C., Al-Abed, S.R., Pinto, P., 2014. The Reuse of Industrial Lead-Contaminated Soil in Urban
Applications, Presented at 2014 Fall ACS National Meeting, San Francisco, CA.

Pinto, P., Al-Abed, S.R., Holder, C., 2013. Metal release from mine tailings under oxic and anoxic
conditions. Presented at the 2013 ACS Fall National Meeting, Indianapolis, IN.

Pinto, P., Al-Abed, S.R., Holder, C., 2013. Anaerobic treatment of mine impacted water by sulfate-reducing
bacteria using a chitin product substrate. Presented at the 2013 ACS Fall National
Meeting, Indianapolis, IN.

Holder, C., 2012. Public Perception of Rain Gardens among UC Students. Poster presentation
at the 2012 University of Cincinnati Undergraduate Conference, Cincinnati, OH.

Holder, C., Lamkin, M., Matter, S., 2011. Effects of Extinction Events on Synchrony of Population
Dynamics. Poster presentation at the 2011 University of Cincinnati Undergraduate Research Poster
Session, Cincinnati, OH.