All
Leadership
Research
Development
Chief Executive Officer / Co-Founder
Matt Hudson
Matt co-founded Invenia, and has been CEO from the start. He started Invenia while at Microsoft, after majoring in political science and economics with additional studies in computer science and engineering. He has developed a deep knowledge of the electrical grid, complex networks, and machine learning.
Chief Technology Officer / Co-Founder
Christian Steinruecken
Christian completed his PhD under the supervision of Prof Sir David MacKay at the University of Cambridge (UK) and is a specialist in machine learning. He has led engineering projects in artificial intelligence, data compression, and probabilistic programming. Christian believes that building intelligent technology is our best hope for making the world a better place.
Chief People Operations Officer / Co-Founder
Oksana Koval
Oksana is a co-founder of Invenia and is currently the Chief People Operations Officer, overseeing operations in Canada and the UK. She attended the University of Manitoba where she studied Anthropology as a post-graduate. In her spare time, she also pursues research interests in machine learning and archaeology. In the past, she has excavated a 3,000-year-old settlement in Crete, Greece, and for her Master’s thesis, she applied machine learning to identify the ceramic manufacturing techniques of ancient potters.
Managing Director Invenia Labs/ Chief Science Officer / Co-Founder
Cozmin Ududec
Cozmin is a co-founder of Invenia and now also the Managing Director and Chief Science Officer of Invenia Labs in Cambridge. He received his PhD in the foundations of quantum theory from the University of Waterloo and is still puzzling over the quantum world in his spare time.
Scientific Advisor / Co-founder
David Duvenaud
David is a co-founder of Invenia and an assistant professor in computer science and statistics at the University of Toronto. He received his PhD in machine learning from Cambridge University. Before Invenia, he also worked at Google Research, the Max Planck Institute for Intelligent Systems, and the Harvard Intelligent Probabilistic Systems group.
Alex has a PhD in Biophysics from Oxford University, where he worked on applying machine learning techniques to model biological data. Since then, he's worked on numerous applications of ML, including one for a startup in the energy sector and another for risk models in fintech. In his spare time, Alex can often be found playing board games or occasionally hacking around on personal ML projects.
Researcher
Andrew Rosemberg
Andrew received a BSc in control engineering from PUC-RIO and a BSc in general engineering from École Centrale de Marseille. He also holds a master's in Electrical Engineering with an emphasis on Operation Research, focusing on Power Systems and Energy markets. Some of his previous projects revolve around energy economic dispatch analysis and simulation, financial data classification and portfolio optimization. His main interests are optimization, decisions under uncertainty and machine learning.
Researcher
Anton Isopoussu
Most recently, Anton has been interested in unsupervised learning using ideas from optimal transport. Before getting into machine learning, he studied mathematics, physics and computer science in Helsinki and then went on to complete a PhD in algebraic geometry in Cambridge.
Arnaud graduated from the University of Edinburgh with an MSc in Artificial Intelligence in 2012. Since then, he's been working at various companies as a software engineer, notably in the music streaming industry and in the emerging space of autonomous vehicles. In his spare time, he enjoys travelling and tinkering with pet projects.
After achieving a Masters in Economics and Econometrics at the University of Sydney, Astrid completed her PhD in machine learning at the University of New South Wales. She has previously worked as a professional econometrician in the energy and financial sectors but now, as a researcher for Invenia, she finds ways of improving the computational efficiency of multi-task Gaussian process models for solar power forecasting. Her main research interests are scalable nonparametric methods for spatiotemporal modeling, structured prediction and grid integration of distributed generation.
Senior Researcher
Bella Wu
Bella achieved her PhD in engineering at the University of Cambridge, where she developed advanced signal processing techniques, including many based on Bayesian inference, for magnetic resonance applications. Before joining Invenia, Bella worked at a startup on building energy models that provide forecast and analysis for use in hedging, trading, and investments. She is interested in combining mathematical modelling and machine learning with fundamental theories in fields such as engineering and economics to gain unique insights into complicated systems that have a significant social impact.
Developer
Brendan Curran-Johnson
Brendan is a developer and a documentarian at Invenia. Whether he's writing docs or infrastructure code, his work is integral for others to be able to do theirs.
Developer
Cameron Ditchfield
Cameron originally joined Invenia as a co-op student from the University of Manitoba. An enthusiastic reader, Cameron enjoys a wide range of topics. From the sagas to The Guns of August, he likes to spend his free time with a good book.
Developer Intern
Cole Peters
Cole graduated from the University of Manitoba in 2019 with a Bachelor of Computer Science (Honours) degree. He started working at Invenia as a co-op student in 2018 and transitioned to a full-time position after graduation. Outside of work, Cole enjoys hiking, camping, reading, and gaming.
Head of Development
Curtis Vogt
Curtis works on managing, architecting, and developing the next generation of Invenia's EIS. He also is a contributor and advocate for the Julia programming language.
Alongside his work with Invenia as a Research Advisor, Doyne is also a Professor in the Mathematical Institute at the University of Oxford and an External Professor at the Santa Fe Institute. His current research is in economics, including agent-based modeling, financial instability, and technological progress. He was a founder of Prediction Company, a quantitative automated trading firm that was sold to the United Bank of Switzerland in 2006. His past research includes complex systems, dynamical systems theory, time series analysis, and theoretical biology.
Emma is a Content Writer who has previously written for tech and biotech companies but has also done some pretty adventurous jobs before that - including zoo keeping! She likes to work on content creation and building a brand voice, but she also has experience running paid social campaigns, generating content strategies and much more in the way of general marketing too.
Senior Developer
Eric Davies
Eric received his Bachelor's Degree in Computer Science with a specialisation in Artificial Intelligence from the University of Manitoba. Now, he architects and develops improvements to Invenia's data processing and machine learning pipeline while pushing for a faster, more capable EIS. Eric also contributes to the Julia community and helps lead the charge for new technologies at Invenia.
Researcher
Eric Perim Martins
Eric received his PhD in Physics from the University of Campinas, where he worked on Nanotechnology problems using Computational Physical-Chemistry techniques. He then moved to Duke University where he looked into High-Throughput Materials Science methods before joining Invenia.
Senior Developer
Fernando Chorney
Fernando is a huge fan of trying to make things easier and more efficient for all people and systems. When he’s not messing with his Linux servers at home, Fernando likes to cook, make music, play games and learn new skills.
Research Advisor
Francesco Caravelli
Francesco's research focuses on statistical physics as well as complex systems, in particular, complex networks, memristive circuits, econophysics, and agent-based modelling. He is a theoretical physicist, interested in quantum and classical systems and the application of techniques of statistical physics and complexity to other disciplines such as economics, engineering, and finance. He has been a Senior Researcher at Invenia Labs in Cambridge and a researcher at the London Institute for Mathematical Sciences, before moving as an Oppenheimer Fellow to Los Alamos National Laboratory.
Research Engineer
Glenn Moynihan
Glenn Moynihan is native of county Cork in Ireland but upped sticks to study Theoretical Physics at Trinity College Dublin where he received his Bachelor's in 2013 and his PhD in 2018. His research focused on improving the accuracy and scope of linear-scaling density-functional theory applied to large-scale calculations of materials exhibiting strongly-correlated electrons.
Junior Researcher
Ian Goddard
Ian is a recent Master's graduate in data science from the University of Edinburgh where he has previously completed a Bachelor's degree in Physics. His main area of interest is how we can use data science and machine learning to help in the transition of the energy sector to a more renewable mix. His interests in machine learning are broad, with a particular interest in probabilistic modelling, Bayesian learning, and graph theory.
James graduated with a BSc in Mathematics from Loughborough University. Before working at Invenia, he worked as a DevOps engineer for a startup developing artificial intelligence software for the legal profession.
Senior Researcher
James Requeima
James is a senior researcher at Invenia and a PhD student studying machine learning at the University of Cambridge in the Computational and Biological Learning Lab, under the supervision of Dr. Richard Turner. His interests include Bayesian optimisation, learning, approximate inference methods, and deep generative models.
He previously completed a master’s in machine learning, speech, and language technology at the University of Cambridge under the supervision of Dr. Zoubin Ghahramani and a master’s of mathematics from the McGill University under Daniel Wise.
People Operations Manager
Joao Moraes
After completing a law degree Joao went into business through a variety of roles, ultimately completing an MBA at the University of Cambridge. His previous background includes managing all aspects of a restaurant chain, brand strategy consultancy, and leadership development.
Letif received his PhD in computational chemistry from ELTE University, Hungary, where he worked on the methodological improvement of hybrid QM/MM approaches and free energy computations for complex systems. At the University of Cambridge and later at the University of Warwick, he developed an efficient sampling technique in combination with Gaussian process regression. In addition to this, he also introduced a protocol for constructing high dimensional quantum surfaces of organic molecules using machine learning and developed universal preconditioners to enhance the performance of optimisation techniques.
People Operations Associate
Lisa Morris
Lisa was born and raised in Calgary, Alberta, and has lived in Winnipeg since 2005. She has an undergraduate degree in Criminology (Sociology/Psychology) from the University of Manitoba and is currently working towards her diploma in Human Resource Management at the University of Winnipeg. Lisa plans to obtain her CPHR in the future. In her spare time, Lisa volunteers with a local animal rescue, enjoys going to concerts, Jets games, Goldeyes games, and spending time with her two dogs.
Research Engineer
Lyndon White
Lyndon is passionate about building the tools to do research better. His current specific interests are around tooling for machine learning libraries, in particular automatic differentiation. Lyndon completed his PhD on Natural Language Processing via Machine Learning (Titled “On the surprising capacity of linear combinations of embeddings”) at the University of Western Australia in 2018. He has been programming Julia since 2014, and is currently a maintainer of, and contributor to, some unreasonable number of packages.
Facilities Coordinator
Magda Karavatou
Magda was born in Thessaloniki, Greece, and moved to Cambridge in 2019. She has previously studied Economic Science at the University of Macedonia and has received an IT skills certificate from the University of Cambridge.
Mahdi Jamei received a BSc degree in Science and Technology in 2013 and an MSc in Electrical and Computer Engineering from Florida International University in 2014. He then went on to achieve a Ph.D. in Electrical and Computer Engineering from Arizona State University in 2018. His research interests lie primarily in developing computational analytic tools for power systems employing mathematical and signal processing techniques. He has been studying the security challenges of interdependent critical infrastructures of power, cyber and gas networks over the past few years.
Mary Jo graduated with a BSc in Genetics before realizing her true passion for Computer Science. Before joining Invenia, she gained experience in Web Development and Bioinformatics. In her spare time, she loves to explore restaurants and shops around the city, discover the latest in technology and fashion, and play the Sims.
Software Developer
Matthew Brzezinski
In 2017, Matt graduated from the University of Manitoba with a BSc in Computer Science. His experience so far has mainly been in WebDev, DevOps, and systems architecture. He is currently very interested in data analytics, learning more about systems design, and contributing to StackOverflow.
Outside of software development, he loves playing video games, tinkering with his car, going to AutoCross and is slowly working towards his Time Attack license. He also loves to cook and learn about new cuisines (currently learning more Thai recipes).
Data Scientist
Max Lensvelt
Max has worked in power markets and renewable energy within the UK, Europe, and the United States for almost a decade. His experience encompasses analytical roles in private equity, utilities, and industry. Most recently, he has worked as a Data Scientist for the developer of the UK's first virtual power plant. He also holds a BSc in Physics and an MSc in Data Science.
Senior Data Scientist
Mike de Denus
While working on his Master's degree, Mike developed a robotics system for maintaining formation movement with varying numbers of robots without the use of a centralized controller. His teams have won awards at numerous international robotics competitions. At Invenia, he focuses on the analysis and exploration of nodal and spot electricity markets.
Research Engineer
Nick Robinson
Nick recently completed a master's in AI at Edinburgh University, having previously studied analytic philosophy at Cambridge. In between, he worked at ASI building machine learning models for all sorts of different companies.
Scientific Developer
Nick Thiessen
After completing a BSc in computer science, Nick came to Invenia to work on building and maintaining machine learning systems and simulations. During his spare time, he can be found either developing, playing, or discussing games of all sorts.
Nicole graduated from the University of Manitoba with a Computer Science degree specializing in Theoretical Computer Science, Networks and Security, and Web-Based Systems. She also completed a minor in Chemistry. Nicole worked at Invenia for two co-op student work terms before joining full time in 2018.
Pavel is a researcher, whose interests span time-series forecasting, dynamical systems, approximate Bayesian inference and reinforcement learning. Pavel joined Invenia whilst completing his MSc in Computational Statistics and Machine Learning at University College London under the supervision of Prof John Shawe-Taylor. Before pursuing graduate studies, Pavel spent two years at Morgan Stanley devising quantitative risk models for fixed-income financial products, after obtaining his BA in Computer Science from the University of Cambridge. Outside of work, Pavel is passionate about basketball, world history and financial markets.
Researcher
Raphael Saavedra
Raphael received his MSc and BSc degrees in Electrical Engineering with an emphasis in Operations Research from the Pontifical Catholic University of Rio de Janeiro. He previously worked in projects with major electricity distribution companies with the goal of forecasting demands and optimizing contracts. He is also a Julia programmer and contributes to open- source projects. His main interests are optimization, time series models, and power system operation.
People Operations Manager
Reena Varshney
As a CPHR professional with over 10 years of HR experience, Reena is known for her strong skills in advisory HR, employee relations and legal compliance. Her mandate is to help businesses find HR solutions to everyday employment issues.
Senior Developer
Rory Finnegan
Rory Finnegan joined Invenia as a Computer Science co-op and Linux enthusiast with a background in Bioinformatics and Human-Computer Interactions. In 2016, Rory completed a Master’s degree in Computational Neuroscience and is now working towards his PhD.
Co-op Student
Ryan Froese
Ryan is a Computer Science student at the University of Manitoba, now in his fourth year of studies. After learning how to do game modding in his teens, he realised that Computer Science was exactly the kind of field he had been looking for, and decided to further his education in the subject through high school and then University. In his spare time, he plays a lot of games, watches his favourite shows, and likes to get some fresh air by jogging.
Sam has recently finished her Bachelor of Computer Science (Honours) degree at the University of Manitoba. When not at work or studying, she can be found tending to plants, watching science fiction shows, and trying her hand at new hobbies and skills.
Sam is a recent graduate from the University of Manitoba with a Bachelor of Computer Science. He joined Invenia as a co-op during the summer of 2015 and started working full time in December that year. Since then, he has been involved in several projects ranging from development to researching.
Head of Architecture and Operations
Sascha McDonald
Sascha is a senior executive with a track record of developing and implementing strategies that drive revenue and service delivery within start-up and blue-chip businesses. His expertise includes designing enterprise architecture and delivering operational capability across people, processes and technology.
In addition to this, he has masses of international experience in leading business development activity, contract negotiations to generate multi-million-pound revenue streams, and leading multiple teams within both matrix and direct management environments. His previous work has also included managing relationships at the CxO level with clients, suppliers, and strategic partners.
Sean received his PhD in computational physics from the University of Cambridge, where he worked on adaptive meshing methods in computational fluid mechanics. Since then, he has worked as a research scientist in R&D for the oil and gas industry, where his research interests included complex fluids, reduced-order models, and the application of statistical modelling to physical systems. He has also been involved in several academic collaborations and physics outreach projects.
Director of Finance
Steve Marr
Steve is a Certified Public Accountant and Chartered Accountant who has previously worked at Deloitte, Great-West Life and most recently as the Corporate Controller for the International Institute for Sustainable Development. He strives for continuous improvement and enjoys problem-solving collaboratively.
Research Intern
Thomas Falconer
Thomas is a graduate student in Energy Systems and Data Analytics at University College London and will be carrying out his research thesis in collaboration with Invenia Labs. He previously completed his undergraduate studies at Heriot-Watt University in Chemical Engineering, with a primary focus of biochemical process design. His research interests lie in the application of machine learning and data analytics to facilitate climate change mitigation and enhance the sustainability of energy systems, with particular passions for grid decarbonisation and power systems optimisation.
Software Developer Intern
Thomas Wright
Tom is a third-year student pursuing a joint degree in Statistics and Computer Science at McGill University. He is thrilled to have the opportunity to work with such an innovative company in his hometown of Winnipeg and is looking forward to helping Invenia build their data gathering framework. In his spare time, Tom likes to play and write music, boulder, bike around the city and play competitive ultimate frisbee.
Timothy was born in Malaysia and has recently graduated from the University of Manitoba with a bachelor’s of science degree in Computer Science. His work at Invenia started as part of his first internship as a junior developer, and he spent most of his time working with the data feeds team to build Invenia’s data gathering framework. In his spare time, he loves to explore new places.
Junior Developer Co-op
Tyler Loewen
Tyler is currently pursuing a Bachelor of Computer Science (Honours) degree at the University of Manitoba. In his free time, he enjoys photography, playing games and riding his motorcycle.
Researcher
Wessel Bruinsma
Wessel is currently a PhD student at the University of Cambridge. He holds an MPhil in Machine Learning and Machine Intelligence also from the University of Cambridge. At Invenia, Wessel researches machine learning and investigates applications thereof. His main research interests include probabilistic modelling, Bayesian nonparametrics, approximate inference, and signal processing.
Research Associate
Will Tebbutt
Will is currently a PhD student in the Machine Learning Group at the University of Cambridge. He will be undertaking a research internship over the summer of 2020 looking at probabilistic models for time series. When not working, he can be found playing the guitar or listening to people play it well.
Advisor
Zoubin Ghahramani
Zoubin works with Invenia as an advisor. He is also a professor of Information Engineering at the University of Cambridge, where he leads the Machine Learning Group consisting of about 30 researchers, and the Cambridge Liaison Director of the Alan Turing Institute, the UK's national institute for Data Science. His academic career includes concurrent appointments as one of the founding members of the Gatsby Computational Neuroscience Unit in London, and as a faculty member of CMU's Machine Learning Department for over ten years. His current research interests include statistical machine learning, Bayesian nonparametrics, scalable inference, probabilistic programming, and building an automatic statistician. He has published over 250 papers, receiving over 30,000 citations (an h-index of 74).
