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Golden Kobold-Small-John Smith Winners will be announced January 10, My Account. Welcome to Ninja Division! Erika is a geologist and data scientist interested in geoinformatics.
She received her B. After graduating, she worked in the Macrostrat Laboratory where she developed text mining applications and helped to build a global database of geoscientific information.
Erika obtained her M. Her thesis work involved using groundwater models and geostatistical techniques to assess wetland restoration efforts.
After relocating in Silicon Valley, she developed her skills in Data Science and Machine Learning, strongly believing that these information technologies perfectly complement the traditional methodologies of these industries for better efficiency and improved insights when processing huge amounts of data.
Her career began with a heavy focus in ore genesis. Her diverse career has given her hands-on experience in various stages of the mining industry including drilling exploration programs in greenfield projects, ore deposit delineation, 3D reservoir modeling, and resources calculation.
She has led multicultural teams and worked in several countries including Madagascar, Vietnam, Canada, France, Mongolia, and Russia. Computational Scientist.
Brad has a passion for science, mathematics, and natural resources, and enjoys working at the intersection of data science and physical science.
He earned a Ph. Before his Ph. In his free time, Brad enjoys volunteering with Engineers Without Borders.
He has worked to help subsistence farming communities develop water supply and treatment infrastructure in rural Ecuador and Fiji.
Nancy brings over a decade of industry experience in software engineering. She has worked in problems as diverse as financial data warehouses, language processing, and healthcare, building highly curated datastores and large-scale data processing pipelines.
Before going into engineering, Nancy was a mathematics Ph. He has years of hands-on experience in the full lifecycle of machine learning models at scale, from business problem definition and refinement, data and feature pipelines, model development, and model deployment and monitoring in production.
He has also created inner-sourced Python packages and learning modules including self-directed trainings and in-person courses to empower hundreds of analysts to more easily automate their work with Python.
I-Kang completed his Ph. His Ph. He is the author or coauthor of more than 15 peer-reviewed papers and holds 3 patents in design of advanced solar cells.
He also holds a B. Joe is a marine geophysicist and structural geologist turned software developer. Prior to joining KoBold, Joe worked at Planet Labs where he built and maintained the basemaps pipeline.
He has also worked as an exploration geologist in the petroleum industry, with experience in a variety of frontier basins across the globe. XinXin Xu has experience working on a variety of corporate transactions across a broad spectrum of industries.
She then worked as an investor at Basin Holdings, an integrated energy and industrials holdings company. XinXin obtained her M.
During her time at Yale, she worked on a variety of problems including supercontinent reconstruction with a focus on the Kalahari in Namibia, seismic anisotropy in North America, thermochronology of Glacial Valleys in Patagonia, and Chinese Rare Earth Elements policy.
Nick is a data scientist and geophysicist with years of experience applying programming, statistics, and physics in a wide variety of fields.
He received a B. He left to earn a Ph. Nick transitioned to data science in as an Insight Data Science fellow. Prior to joining KoBold, he was a data scientist at Arceo.
There he led projects spanning the full lifecycle of data science from project proposal and management, data acquisition and cleaning, prototyping, training, and deploying and maintaining production code on AWS.
He is excited to combine his physics and data science experience to important work facilitating a transition to green energy at KoBold Metals.
James Stevenson is a software engineer with over a decade of experience in data engineering. He has helped to build data processing pipelines from small- to petabyte-scale in a range of industries including healthcare, education, and e-commerce.
In addition, he has developed a diverse array of data-driven applications in the fields of natural language processing, recommender systems, and healthcare cost and quality assessment.
James studied English literature and music composition at Johns Hopkins University before going into software engineering.
Matthew Plough brings a broad range of software development experience. He has developed machine learning systems in the human resources space and has created infrastructure and applications for petabyte-scale healthcare data processing pipelines.
Prior to his data engineering work, Matthew developed safety-critical avionics software, automatic control systems for marine and aerial robotics, and sensors for network security tools.
Matthew studied electrical engineering at Princeton University and computer science at Johns Hopkins University. Daniel P. Schrag studies climate and climate change over the broadest range of Earth history.
He is particularly interested in how information on climate change from the geologic past can lead to better understanding of anthropogenic climate change in the future.
In addition to his work on geochemistry and climatology, Schrag studies energy technology and policy, including carbon capture and storage and low-carbon synthetic fuels.
Among various honors, he is the recipient of the James B. Schrag earned a B. David is an exploration geologist with diverse interests in a range of ore-forming systems.
Over the last eight years he has worked with prospecting, mapping, sampling, and drilling programs on early to mid-stage gold and polymetallic exploration projects in Nevada and Alaska.
As an undergraduate and graduate student, David conducted research in igneous-hydrothermal and sediment-hosted ore deposits, paleomagnetism, and structural geology.
Prior to his geological training, David was involved in resource conservation and spent several seasons with trail crews in central Idaho before developing a passion for geoscience as an undergraduate.
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Golden Kobold can be drafted and added to a Duels deck after rounds 3, 9 and As well as appearing in Duels , this card can also be generated by the following cards in Constructed.
The Golden Kobold is unique to Hearthstone. It is very similar to the Golden Monkey , albeit a kobold -shaped version. Sign In. From Hearthstone Wiki.