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I am passionate about leveraging machine learning to extract information from large data sources, particularly when the outcomes of the application can be used to help improve the world. In 2013, I completed my PhD research at the University of Waikato: developing a relational reinforcement learning algorithm in an attempt to have machines learn how to efficiently and autonomously navigate in complex environments. Between 2012--2015 I was a Postdoctoral Research Fellow, developing techniques for extracting consistent ontological information from natural language web resources for ontological reasoning, as well as performing lecturing for the Artificial Intelligence and Game Design courses at The University of Waikato. From 2016--2019, I entered a Data Scientist industry position at AgroCares in Wageningen, within the Soilcares Research division, where I worked with spectroscopic data to improve the quality of the sensors for better soil and feed nutrient prediction.
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Senior Data ScientistAgrocares Jan 2020 - PresentWageningen, Gelderland, Netherlands -
Data ScientistSoilcares Jan 2016 - Nov 2019WageningenI am primary developer of the systems that communicate and process the data produced by Soil Cares Research for their spectrometry-based prediction tools. My job entails analysing, working with, and transforming spectrometry and other data. This is primarily achieved through the use of the ADAMS knowledge flow software. -
Research FellowUniversity Of Waikato Oct 2012 - Dec 2015This post-doctoral position involves researching techniques for mining information from the web and amassing it within a massive ontology, with the ability to examine and retest the mined information. The information is used to allow users to query the knowledge and receive answers for complex queries, as well as allowing users to add to the knowledge, either directly or by designing their own knowledge acquisition heuristics to be integrated into the system. See http://bit.ly/MOIwaikato for open access to the ontology.This position also comes with a teaching component: half a year is also allocated to lecturing at a University level. Currently, I am lecturing half of the AI and Game Design courses. -
Phd StudentUniversity Of Waikato Mar 2009 - May 2013Researching Relational Reinforcement Learning as a subfield of Artificial Intelligence in Computer Science. The research focuses on creating a versatile algorithm which learns decision list-style behaviour for solving a wide range of problems.
Sam Sarjant Skills
Sam Sarjant Education Details
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Computer Science
Frequently Asked Questions about Sam Sarjant
What company does Sam Sarjant work for?
Sam Sarjant works for Agrocares
What is Sam Sarjant's role at the current company?
Sam Sarjant's current role is Senior Data Scientist at AgroCares.
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What schools did Sam Sarjant attend?
Sam Sarjant attended The University Of Waikato.
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Sam Sarjant has interest in Artificial General Intelligence, Education, Tabletop Games, Science And Technology, Martial Arts, Procedural Generation, Roleplaying Games, Animal Welfare, Reinforcement Learning, Video Games.
What skills is Sam Sarjant known for?
Sam Sarjant has skills like Computer Science, Artificial Intelligence, Machine Learning, Programming, Java, Algorithms, Latex, Data Mining, Natural Language Processing, Software Engineering, Bash, Research.
Who are Sam Sarjant's colleagues?
Sam Sarjant's colleagues are Melissa Yasemin Colakoglu, Reinder Van Der Meer, Karanja Karanja, Tanja Lübbers, Gabriele Broetto, Mukami Gitau, Edoardo Marchetti.
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