Education:

Ph D. Marine Oceanography (2012 - Present)
Université Laval, Québec, Canada
Canada Excellence Research Chair in Remote Sensing of Canada’s New Arctic Frontier
Joint International Laboratory "Takuvik"
ULaval (Canada) - CNRS (France)
Dissertation topic: Spatiotemporal variability in the mesozooplankton - primary production coupling using optical imaging systems (Supervisor: Louis Fortier; Co-supervisor: Marcel Babin)

M. Sc. Integrated bi-national Master of International Nature Conservation (2010 - 2012)
Department of Conservation Biology, University of Göttingen, Germany and Issac Centre for Nature Conservation, University of Lincoln, New Zealand
Dissertation topic: Model-predicting the effect of fresh water inflow on saltwater layers, migration and life history of zooplankton in the Arctic Ocean: Towards scenarios and future trends (Supervisor: Falk Huettmann; Co-supervisor: Michael Muehlenberg)

B. Sc. Biology (2007-2010)
University of Göttingen, Germany
Dissertation topic: Analysis of the feeding ecology of the red kite (Milvus milvus) by prey-delivery videography (Supervisor: Eckhard Gottschalk; Co-supervisor: Mark Maraun)

Peer reviewed publications:

Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2016): The LOKI underwater imaging system and an automatic identification model for the detection of zooplankton taxa in the Arctic Ocean. Methods in Oceanography, http://dx.doi.org/10.1016/j.mio.2016.03.003.

Humphries, G.R.W., Flemming, S.A., Hammer, S., Hirata, K., Kappes, M.A., Kappes, P.,   Magnusdottir, E., Major, H., Mcduie, F., McOmber, K., Orben, R.A., Schmid, M.S., Wille, M. (2016, accepted): Bridging the gap from student to senior scientist: recommendations for engaging early career scientists in professional biological societies. Marine Ornithology.

Kooi, M., Reisser, J., Slat, B., Ferrari, F., Schmid, M.S., Cunsolo, S., Brambini, R., Noble, K., Sirks, L-A., Linders, T.E.W., Schoeneich-Argent, R., Koelmans, A.A. (in review): In Depth: correcting plastic sea surface measurements for vertical mixing. Scientific Reports.

Huettmann, F., Craig, E.H., Herrick, K.A., Baltensperger, A.P., Humphries, G.R.W., Lieske, D., Miller, K., Mullet, T.C., Oppel, S., Resendiz, C., Rutzen, I., Schmid, M.S., Suwal, M.K., Young, B. (in review): Use of machine learning (ML) for predicting and analyzing ecological and ‘location only’ data: an overview of applications and an outlook. In: Huettmann, F., et al. (eds.) Machine Learning. Springer, New York.

Lieske, D.J., Mahoney, M., Schmid, M.S. (in review): Ensembles of ensembles: combining the predictions from multiple machine learning methods. In: Huettmann, F., et al. (eds.) Machine Learning. Springer, New York.

Huettmann, F., Schmid, M.S., Humphries, G.R.W. (2015): A first overview of open access digital data for the Ross Sea: complexities, ethics, and management opportunities. Hydrobiologia 761:97–119, http://dx.doi.org/10.1007/s10750-015-2520-x.

Huettmann, F. and Schmid, M.S. (2015): A short introduction to tropical land- and seascapes and their wildlife conservation management. In: Huettmann, F. (ed.) Central American Biodiversity: Conservation, Ecology, and a Sustainable Future. Springer, New York, pp 1-23, http://dx.doi.org/10.1007/978-1-4939-2208-6_1.

Schmid, M.S., Baltensperger, A.P, Grigor, J., Huettmann, F. (2015): Assessments of carbon stock hotspots in Nicaragua and Costa Rica. In: Huettmann, F. (ed.) Central American Biodiversity: Conservation, Ecology, and a Sustainable Future. Springer, New York, pp 677-701, http://dx.doi.org/10.1007/978-1-4939-2208-6_30.

Huettmann, F. and Schmid, M.S. (2014): Climate change and predictions of pelagic biodiversity components. In: De Broyer, C., et al. (eds.) Biogeographic Atlas of the Southern Ocean. Scientific Committee on Antarctic Research, Cambridge, pp. 390-396.

Huettmann, F. and Schmid, M.S. (2014): Climate change in the Arctic. In: Hund, A. (ed.) Antarctica and the Arctic Circle: A Geographic Encyclopedia of the Earth's Polar Regions. Vol I. ABC-Clio, Santa Barbara, pp. 189-193.

Roelofs, M., Schmid, M.S., Zuijderwijk, R. (2014): Chapter 6.3 Zooplankton. In: Slat, B., et al. (eds.) How the Oceans can clean themselves. A feasibility study. The Ocean Cleanup, Delft, pp. 320-327.

Huettmann, F. and Schmid, M.S. (2014): Publicly available open access data and machine learning model-predictions applied with open source Geographic Information Systems (GIS) for the entire Antarctic Ocean: A first meta-analysis and synthesis from 53 charismatic species. In: Veress, B. and Szigethy, J. (eds.) Horizons in Earth Science Research. Volume 11. Nova Science Publishers, New York, pp. 23-33.

Baltensperger, A.P., Mullet, T., Schmid, M.S., Humphries, G.R.W., Kövér, L., Huettmann, F.  (2013): Seasonal observations and machine-learning-based spatial model predictions for the common raven (Corvus corax) in the urban, sub-arctic environment of Fairbanks, Alaska. Polar Biology 36:1587–1599, http://dx.doi.org/10.1007%2Fs00300-013-1376-7.

Cohen-Rengifo, M., Crafton, R.E., Hassenrück, C., Jankowska, E., Koenigstein, S., Sandersfeld, T., Schmid, M.S., Schmidt, M., Simpson, R., Sheward, R.M. (2013): Module 1: marine ecosystems and climate change. In: Dummermuth, A. and Grosfeld, K. (eds.) Climate change in the marine realm: an international summer school in the framework of the European Campus of Excellence. Reports on polar and marine research 662, Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, pp. 2-20, hdl:10013/epic.41554, http://epic.awi.de/33026/.

Grigor J., Schmid, M.S., Fortier, L. (in prep): Life histories of chaetognaths in the Canadian Arctic. Marine Ecology Progress Series.

Schmid, M.S. and Fortier, L. (in prep): Lipid load triggers the migration to diapause in Arctic Calanus copepods.

Schmid, M.S. and Huettmann, F. (in prep): A climate-driven model-prediction of spatial epiphyte layers and their hotspots on Haida Gwaii, Canada: First predictive layers and their landscape relevance. Landscape Ecology.

Invited oral presentations :

Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2014): Zooplankton imaging with the Lightframe On-sight Keyspecies Investigation (LOKI) system. 5ème Rencontre des Technologies Marines, Réseau National Technologies Marines et la Direction Technique de l'INSU, Benodet (France), Nov 2014.

Selected oral presentations :

Grigor, J., Schmid, M.S., Aubry, C., Fortier, L. (2015): Small is just as important: using multiple techniques to reveal the ecologies of Arctic plankton. Colloque Biologie 2015, Université Laval, Québec City (Canada), Mar 2015, (1st and 2nd author presented).

Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2015): Automatic zooplankton species identification for the greater North Water Polynya region. APECS Online Conference – New perspectives in the Polar Sciences, Mar 2015.

Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2014): Automated zooplankton identification for Baffin Bay and adjacent waters – combining in-situ imaging, machine learning and taxonomy to gain insights into the fine-scale dynamics of zooplankton. Arctic Change 2014, Ottawa Convention Centre, Ottawa (Canada), Dec 2014.

Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2014): Automated zooplankton identification for Baffin Bay and adjacent waters. Québec-Océan Annual Meeting, Hôtel Universel, Rivière-du-Loup (Canada), Nov 2014.

Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2013): New perspectives in zooplankton sampling: use of in situ optical imaging to profile the vertical distributions of taxa. APECS webinar series. Eastern Arctic Research Webinar, Apr 2013.

Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2013): In situ imaging of mesozooplankton in order to assess fine scale spatiotemporal variability. Colloque Biologie 2013, Université Laval, Québec City (Canada), Mar 2013.

Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2012): Assessing spatiotemporal variability in the mesozooplankton using a newly developed plankton imaging system - first experiences from the BaySys 2012 expedition in Hudson Bay. ArcticNet Annual Conference, The Westin Bayshore, Vancouver (Canada), Dec 2012.

Schmid, M.S., Huettmann, F., Polyakov, I. (2012): Model-predicting the effect of freshwater inflow on migration and life history of zooplankton in the Arctic Ocean: towards scenarios and future trends. Midnight Sun Science Symposium, University of Alaska Fairbanks, Fairbanks (USA), Mar 2012.

Schmid, M.S., Huettmann, F., Polyakov, I. (2011): Model-predicting the effect of freshwater inflow on migration and life history of zooplankton in the Arctic Ocean. An overview of my M.Sc. thesis. Life Science Seminar Series, University of Alaska Fairbanks, Fairbanks (USA), Dec 2011.

Selected poster presentations :

Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2014): Automated zooplankton identification for Baffin Bay and adjacent waters – combining in-situ imaging, machine learning and taxonomy to gain insights into the fine-scale dynamics of zooplankton. Arctic Change 2014, Ottawa Convention Centre, Ottawa (Canada), Dec 2014.

Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2013): In-situ imaging of Arctic plankton: automated taxonomic classification using machine learning algorithms. ArcticNet Annual Conference, World Trade and Convention Centre, Halifax (Canada), Dec 2013.
Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2013): In-situ imaging of Arctic zooplankton. Québec-Océan Annual Meeting, Hôtel Universel, Rivière-du-Loup (Canada), Nov 2013.

Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2013): In situ imaging of mesozooplankton in order to assess fine scale spatiotemporal variability: experiences from the BaySys 2012 expedition in Hudson Bay. Arctic Frontiers Conference 2013, University of Tromsø (Norway), Jan 2013.

Schmid, M.S., Aubry, C., Grigor, J., Fortier, L. (2012): Assessing spatiotemporal variability in the mesozooplankton using a newly developed plankton imaging system - first experiences from the BaySys 2012 expedition in Hudson Bay. Québec-Océan Annual Meeting, Omni Mont-Royal Hotel, Montreal (Canada), Nov 2012.

Schmid, M.S., Huettmann, F., Polyakov, I. (2012): Model-predicting the effect of freshwater inflow on saltwater layers, migration and life history of zooplankton in the Arctic Ocean: towards scenarios and future trends. IPY Conference 2012, Montreal (Canada), Apr 2012.

Schmid, M.S. and Huettmann, F. (2011): Model-predicting thick epiphyte layers and related parameters on Haida Gwaii (Queen Charlotte Islands, Canada) in order to assess habitat suitability for marbled murrelets and to address climate change questions. US Regional Association of the International Association for Landscape Ecology, Portland Hilton, Portland (USA), Apr 2011.

Research interests:

• Zooplankton under changing climate, future climate predictions, epiphytes and seabirds, carbon inventories and rainforest ecology
• Biogeography, spatial ecology and modeling, machine learning algorithms, advancement in statistical procedures
• Traditional ecological knowledge
• Society and nature: How is the status of the environment linked to economical well-being?

Homepage:

http://schmidscience.com/