- Introduction
- Camila Körbes Hauschild
- Daniel Silva
- Debastuti Ghosh
- Erika Cooper
- Felipe Costa
- Gabriel Moreira
- Georgios Tsekeris
- Hunter Markvoort
- Joseph Boakye Danquah
- Mahshad Rezaei
- Paulo Dias
- Ronny Hernandez Mora
- Silvana Stipetich
- Thiago Alduini Mizuno
- Yasin Tascioglu
CCG Grad Students
The core of the CCG is our graduate students. We have 15 current students, split almost evenly between Ph.D. and M.Sc. programs. Students start their program with a “warm-up” project that often becomes their thesis. There is strong encouragement to participate in industry projects wherever there is an opportunity and student research may often receive member company input.
Resources for Grad Students
Download documents for grad students: Thesis Criteria, for students for submitting a thesis at CCG, and Presentation Criteria, for students for preparing and delivering a presentation at CCG.
Camila Körbes Hauschild
M.Sc. Student
Camila holds a B.Sc. and an M.Sc. in Mining Engineering from the Federal University of Rio Grande do Sul (UFRGS), Brazil. Her graduate research focused on analyzing the suitability of a production system aligned with short-term planning in underground mining. She has seven years of professional experience in the mining industry, working as an operations and planning engineer with a focus on short and medium-term mine planning. In 2026, she began a new graduate program under the supervision of Dr. Hooman Askari and Dr. Jeff Boisvert at the University of Alberta.
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Daniel Silva
Ph.D. Student
Daniel earned both his B.Sc. and M.Sc. degrees in Geology from the Federal University of Rio de Janeiro (UFRJ), with academic work focused on structural geology and sedimentary basins. He has professional experience as an exploration geologist at Atlas Lithium Corporation, where he was responsible for core logging and sampling, drillhole planning, database management, and geological modeling. In September 2024, he began his Ph.D. in Geostatistics at the Federal University of Rio Grande do Sul (UFRGS), under the supervision of Dr. João Felipe C. L. Costa. In 2026, he will join CCG as part of his doctoral studies, under the supervision of Dr. Jeff Boisvert. His research focuses on the analysis of hyperspectral drill-core data using machine learning models.
Research
- Hyperspectral drill-core data analysis
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Debastuti Ghosh
Ph.D. Student
Debastuti completed her Bachelor’s from Presidency University, India in 2016. She received her first Master from the Indian Institute of Technology (Indian School of Mines), Dhanbad in 2019. During her first Master’s, she worked on the “Spatial Modelling of Central Block Using Geostatistics, Pottangi Bauxite Deposit, Koraput, Odisha, India”.
She worked for the North American Petrophysics team, Schlumberger, operating remotely from the Global Data Services Hub, Mumbai, India between, 2019 and 2020. She attended two training sessions at Schlumberger’s European Learning Center (ELC) in Melun, France. She has handled and gained expertise in both wireline and logging while drilling (LWD) jobs from clients like Exxon and Shell. She completed the project on automating the delivery of LWD acoustic data directly from the field during her tenure with Schlumberger.
She received her second Master’s from the Institute di Physique du Globe de Paris (IPGP), University of Paris, France in 2022. During her second Masters, she had the opportunity to do a research internship titled “Geostatistical Modelling with Multispectral Imaging Data” which was part of a collaborative project between the University of Alberta, Canada, and RWTH Aachen University, Germany.
She joined CCG as a PhD student under the supervision of Dr. Jeff Boisvert in the Fall of 2022 and is currently working on various Machine Learning models for image classification.
Research
- Machine Learning models for image classification.
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Felipe Costa
Ph.D. Student
Felipe holds B.Sc and M.Sc degrees in Physics from the Federal University of Bahia (UFBA), Brazil, where he specialized in Condensed Matter Physics. He has four years of professional experience as a Field Geophysicist with a terrestrial seismic team operating in the Amazon rainforest. Since 2011, his work has focused on Geopressure and Geomechanical modelling to support wellbore construction in the oil and gas industry. In 2020, he obtained a Master’s degree in Civil Engineering from PUC-Rio, Brazil, with a research emphasis on Geomechanics and the optimization of parameters in material simulation.
In 2026, he joined CCG as a PhD candidate under the supervision of Dr. Jeff Boisvert and Dr. Clayton Deutsch.
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Gabriel Moreira
Ph.D. Student
Gabriel Moreira is a Brazilian geologist and PhD candidate at the Federal University of Rio Grande do Sul, currently visiting the University of Alberta as part of his doctoral research. His work explores hybrid machine learning and geostatistical approaches for geometallurgical data imputation and uncertainty modeling, with applications in mineral resource evaluation.
With a background spanning academia and industry, Gabriel has experience in geological modeling, geostatistics, and data science for mining. He is particularly interested in developing practical, reproducible workflows that bridge advanced statistical methods and real-world challenges.
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Georgios Tsekeris
Ph.D. Student
Georgios Tsekeris received his B.Sc. with an Integrated Master’s in Mining and Metallurgical Engineering from the National Technical University of Athens (NTUA), Greece (2021). He joined the Centre for Computational Geostatistics (CCG) at the University of Alberta, Canada, and completed his M.Sc. in Mining Engineering (Geostatistics) in 2025. He is currently pursuing a PhD in Mining Engineering at the University of Alberta under the supervision of Professor Clayton V. Deutsch and Professor Bo Zhang, with research interests in Geostatistics.
Research
- Reservoir modeling
Publications
Geostatistics Lesson
- Tsekeris, G., Zhang, B. & Deutsch, C. V. (2023). Categorical Variable Distributions in Geostatistics. In J. L. Deutsch (Ed.), Geostatistics Lessons. Retrieved from http://www.geostatisticslessons.com/lessons/categoricaldists
M.Sc. Thesis
- Tsekeris, G. 2025, Geostatistical Modeling Considering High-Resolution Stratigraphic Models, M.Sc., Thesis, University of Alberta, Edmonton, Canada.
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Hunter Markvoort
M.Sc. Student
Hunter Markvoort, a graduate with a B.Sc in Geology from the University of Victoria (2015), boasts over 10 years of dynamic experience in the resource industry, with a focus on gold exploration. His journey spans key roles with industry leaders such as Alamos Gold Inc., Pretium Resources Inc., and Yamana Gold Inc.
With 7 years dedicated to mineral exploration, Hunter has navigated the full spectrum of the field, from greenfield exploration and permitting to resource delineation, production geology, and geological modeling. His expertise has been honed on multiple projects across Canada.
In September 2023, Hunter embraced a new challenge, joining the Center for Computational Geostatistics alongside Dr. Clayton Deutsch. This move underscores his commitment to advancing the field through innovative approaches.
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Joseph Boakye Danquah
M.Sc. Student
Joseph earned his bachelor’s degree in Geological Engineering from Kwame Nkrumah University of Science and Technology, Ghana, in 2022. He has three years of experience as a Mine Geologist, with expertise in grade control, ore production, database management, geological modeling, and reconciliation. Motivated by a strong interest in geostatistical estimation, Joseph joined CCG in September 2025 to pursue an MSc under the supervision of Professor Jeff Boisvert.
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Mahshad Rezaei
M.Sc. Student
Mahshad earned her Bachelor of Science degree in Mining Engineering from the University of Tehran, Iran, in 2023. She joined the Center for Computational Geostatistics at the University of Alberta and began her M.Sc. in Mining Engineering in 2023 under the supervision of Prof. Jeff Boisvert. Her research focuses on accounting for machine learning-based mineral resource estimation by applying a novel graph-based prediction method within geostatistics. Outside of research, she is passionate about animals and adventuring, and she enjoys learning new skills.
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Paulo Dias
Ph.D. Student
Paulo obtained his B.Sc. in Mining Engineering from the Federal University of Minas Gerais (UFMG) and furthered his studies with an M.Sc. from the Federal University of Rio Grande do Sul (UFRGS), both in Brazil. His research delved into the role of density in mineral resource estimation. With a decade of experience serving mining software companies as a consultant, Paulo was dedicated to mineral resource estimation, geostatistical simulation for grade uncertainty assessment, and software education. In 2021, he began his PhD journey under the mentorship of Drs. Clayton Deutsch and Jeff Boisvert.
Research
- Estimation domain definition.
Publications
Geostatistics lessons:
- Dias, P.M., & Deutsch, C.V. (2022). The Decision of Stationarity. In J.L. Deutsch (Ed.), Geostatistics Lessons. Retrieved from http://www.geostatisticslessons.com/lessons/stationarity
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Thiago Alduini Mizuno
Ph.D. Student
Thiago completed his B.Sc. in Geology at State University of Campinas (UNICAMP) in 2009, and his M.Sc. in Geology at Federal University of Rio Grande do Sul (UFRGS) in 2018. With over 13 years of experience in the oil industry, he has specialized in reservoir modeling, oil field development, and unitization processes.
His professional journey commenced in 2010 as a junior geologist with Schlumberger at SIS, followed by his transition to Petrobras later that same year. Thiago currently holds the position of Senior Geologist at Petrobras.
In addition to his professional career, Thiago is actively pursuing his Ph.D. studies under the guidance of Dr. Clayton Deutsch, with a research focus on reservoir modeling and related topics.
Research
- Reservoir modeling
Publications
Geostatistics Lesson:
- Mizuno, T., & Deutsch, C. (2022). Sequential Indicator Simulation (SIS). In J.L. Deutsch (Ed.), Geostatistics Lessons. Retrieved from http://www.geostatisticslessons.com/lessons/sequentialindicatorsim
- Mizuno, T. A., A. M. P. Mizusaki, and R. Lykawka. “Facies and paleoenvironments of the Coqueiros Formation (Lower Cretaceous, Campos Basin): A high frequency stratigraphic model to support pre-salt” coquinas” reservoir development in the Brazilian continental margin.” Journal of South American Earth Sciences 88 (2018): 107-117.
Peer Reviewed:
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