Iggy has a 20-year track record of building companies and advising global organizations (inc. Fortune 500 and sovereigns) on competitiveness, technology, and sustainability.
An advocate for climate-smart innovations, his first impact led agribusiness, GADCO, was supported by Acumen Fund, Soros, BMGF/AGRA, World Bank, and Syngenta. Its impact featured in UNDP, World Economic Forum, FT, Guardian and Huff Post.
A thought leader in natural capital, agriculture, and analytics, Iggy has spoken at forums including UN-FAO, World Bank, ICRD, Harvard, and the UK Government. His earlier career included investment banking, strategy consulting, and analytics software. He holds a master’s from the University of Cambridge (ESRC Scholar) and is a member of BMW Responsible Leaders.
Ben Calderhead, a pivotal part of the Cervest team since 2017, is one of the world’s foremost experts in Bayesian uncertainty quantification and computational statistics. Focused on developing state-of-the-art, computationally efficient statistical methods, he is passionate about using machine learning to tackle complex real-world prediction problems.
A leader in this field for more than a decade, Ben is an assistant professor and lecturer at Imperial College London, teaching statistical modelling and machine learning, and supervising PhD research on Monte Carlo methodology, probabilistic numerics and Bayesian volatility modelling in financial markets. Prior to this he was a visiting researcher at both Harvard and MIT (in 2013 and 2014), and a Research Fellow at UCL. He has given invited talks at leading research institutes around the world, including at Stanford, Harvard, Oxford, Cambridge, and the Alan Turing Institute in London.
With more than 1500 citations to his name in world-leading academic journals and conferences, including Proceedings of the National Academy of Sciences, NIPS, Bayesian Analysis, Biophysical Journal and Journal of the Royal Statistical Society, Ben is extensively published on topics including Markov chain Monte Carlo methodology, single ion channel modelling, and statistical inference using differential equations.
Ben holds a PhD and MSc in Computational Statistics, funded by a Microsoft Research scholarship, and an MSci in Mathematics from the University of Glasgow (2002-2010).
Andre is a product specialist with 16 years’ experience delivering and growing global B2C / B2B products and Marketplaces across multiple sectors.
He’s successfully serviced diverse clients in product management, business analysis, UX and consulting. Recent engagements have included the innovative use of data science & technology in dynamic marketplaces and developing a large-scale customer engagement platform.
He has previously held product leadership positions at Victor Limited and Collinson Group, developing customer loyalty solutions for well-known international brands.
Theo is an award-winning Associate Professor in Data Science with a joint appointment in Computer Science and Statistics at Warwick University.
A thought leader in artificial intelligence, machine learning, and Bayesian statistics, Theo’s specific interests lie in the application of spatiotemporal inference, learning with humans in the loop, kernel (covariance) methods and evidence integration in the fields of biology, sustainability, ecology, and engineering. Theo’s role at Cervest draws all of these interests together.
Theo Damoulas joined the University of Warwick in 2015 from New York University where he was an Assistant Professor of Research (2013-2015). Before that he was a Research Associate in the department of Computer Science at Cornell University. He finished his PhD thesis titled Probabilistic Multiple Kernel Learning in 2009 at the School of Computing Science, University of Glasgow.
A Turing Fellow of the Alan Turing Institute and affiliated with NYU as a Visiting Exchange Professor at the Center for Urban Science and Progress (CUSP), Theo has notched up more than 1000 citations and been published in high-profile academic journals including Nature Climate Change, Bioinformatics, ICML, NIPS, AI Magazine, Statistical Data Science and Biological Conservation, as well as two best paper accolades and two reproducible research awards.
Theo holds an MSc in Informatics (Distinction) from the University of Edinburgh (2003-2004) and an MEng in Engineering (1st Class) from the University of Manchester (1999-2003).
Dr Luís Costa joins Cervest with more than a decade’s expertise working at the Potsdam Institute for Climate Impact Research – a top think-tank renowned for its cutting-edge research in the fields of climate impacts and sustainability research.
An engineer turned researcher, he lead climate change adaptation studies for European research projects, the German Ministry of Environment and the Deutsche Gesellschaft für Internationale Zusammenarbeit (GmbH). He holds strong expertise in GIS, remote sensing and climate models, as well as being an advocate for a concerted global strategy on climate adaptation.
Luis graduated with a Diploma degree in Environmental Engineering from Universidade de Trás-os-Montes e Alto Douro in 2006 and received his PhD from the University of Greifswald in 2013.
Yannis graduated with a first class honours degree from the University of Warwick, where he read Statistics and Computer Science (Data Science).
Having studied fields including artificial intelligence and Bayesian forecasting, and having worked on projects including Bayesian online changepoint detection and Anomaly detection of FTSE 100 stocks, Yannis has a passion for using machine learning algorithms to solve complex challenges – in particular those relating to wider-world problems.
He has recently developed an application that utilises machine-learning to evaluate performance of trading strategies at Eurobank Private Bank Luxembourg.
A Master’s graduate of Statistics at Imperial College London, Owen joined Cervest’s Statistical Science team. Working in programming languages R and Python, he has helped develop some of the world’s most advanced Bayesian machine learning algorithms, designed to generate accurate and real-time crop yield predictions, encoded for continuously learning for the future.
Previously, Owen graduated with a first-class degree at the Erasmus School of Economics, where he won a best paper award in 2015 for his study on the optimisation of drone delivery networks. He has also worked at research and consulting company Veneficus, developing econometric algorithms and models to analyse data for clients in the retail and FMCG sector. Just as he joined Cervest, Owen achieved a Distinction in his MSc from Imperial and won the Winton Prize for best MSc in Statistics Project for 2018.
Peter joined Cervest from Tesco with over a decade of working in grocery retail and the agricultural value chain in buying, change, and strategy. He is passionate about building partnerships to tackle challenges holistically and sustainably.
At Tesco, Peter pioneered a more collaborative and sustainable buying approach focussing on growing value and reducing risk across the entire value chain. Prior to Tesco, he led stakeholder efforts of Greenhouse Gas reduction plans with US State Government agencies in addition to supporting Institutional & Organisational analysis at the World Bank. Peter holds a master’s degree from the Harvard Kennedy School and undergraduate from McGill University.
Oliver is a veteran technologist and software engineer with 17 years’ experience working in innovative environments across the spectrum of start-ups, mature businesses and large institutional organisations. Recent engagements include the migration and modernisation of the BBC World Service (29 websites in 14 months) and two years working in the emerging start-up market in Manila, building innovative, scalable and cost effective platforms.
He is experienced in Cloud-based application design, infrastructure, deployment and the relevant technologies and practices required to deliver consistent, scalable solutions. He holds a graduate degree from the University of Kent at Canterbury.
Raj has advised fast-growing companies in the UK and US on tech, social impact and public relations for more than 25 years on corporate, commercial, financial risk and intellectual property matters. Frequently navigating the complex interactions between legal jurisdictions, he combines this experience with his love of nascent regulation to better understand the intersection of technology, sustainable targets and the law.
He worked as a lawyer at Norton Rose and LeBoeuf, Lamb, Greene & MacRae LLP. Raj has worked with Iggy for more than 10 years, joining GADCO as Director of Legal Affairs in 2009. He graduated from the University of Bristol.
A former business journalist, Becky is an experienced communications consultant with eight years’ experience enhancing and protecting the reputations of ambitious and dynamic businesses from leading discount supermarket Lidl and Hearst Magazines, to ad-tech pioneer AppNexus and award-winning independent boutique marketplace Trouva.
Becky has worked with companies of all sizes and at all stages of growth from new enterprises reinventing old business models, to traditional firms pivoting their business models for a new era.
Passionate about new technology and its potential to create a better world, most recently her focus has been on leading award-winning activity for companies committed to delivering genuine change in their fields. She has a BSc in Linguistic Science from University of Reading.
Shachi is an experienced sustainability lead with strong roots in emerging markets, expertise in developing smallholder business strategy, hands-on implementation, and driving successful, inclusive, business models. A lifelong learner and entrepreneur, he has multiple degrees in science as well as business and, between 2013 and 2015, Shachi started and managed Syngenta Nigeria making it an integral part of the country’s Agricultural Transformation Agenda.
He has also worked at BP and is the founder of the MaolKeki Foundation, Director of AgriMayum GmbH, and currently engaged as the Africa Lead for AgBiTech.
He holds MSc and PhD degrees in science from Bristol University and completed executive education at Harvard University, Purdue University, HEC, and INSEAD.
Andy Wales works to match breakthrough entrepreneurs with multinationals’ value chains to deliver growth and social impact. Currently Chief Digital Impact & Sustainability Officer at BT, he is also a Senior Adviser for the Global Innovation Fund, an angel investor in ‘tech for good’ and a Visiting Business Fellow at the Smith School for Enterprise and the Environment, Oxford.
Previously Global VP Sustainable Development for AB InBev, he also spent 10 years with SABMiller plc. He is a World Economic Forum Young Global Leader, was lead author of the Macmillan book Big Business Big Responsibilities (2010) and is an independent member of WWF UK’s Programme Committee. He holds an MBA from Warwick Business School.
Sachin is a seasoned executive in sustainable development and natural capital. He served as VP in Shell’s Government Relations, responsible for interfacing with global organisations e.g. World Bank, IFC, OECD, G20 and UN – to ensure effective coordination of Shell’s policy in energy and climate.
Prior to this, he had sole Group responsibility for establishing global biodiversity policy, developing tools and guidelines for forestry carbon, as well as building relationships with global organisations.
Earlier he worked for environmental consultancy ERM covering EMEA, LATAM, and SE Asia. He holds an MSc in Environmental Technology from Imperial College.
Karan has experience in building ventures focused on creating more inclusive and sustainable markets – in both emerging and developed economies. He has co-founded Opportunity@Work (tackling economic mobility in the U.S.), GADCO (tackling sustainability and poverty alleviation through agri-food markets in Ghana) and WAVE (tackling youth unemployment in Africa).
Prior to this, Karan was a social sector fellow at McKinsey & Company advising clients across (Fortune 500, governments, and philanthropy).
Karan was named as a 30 under 30 Social Entrepreneur by Forbes. He holds an MBA from Harvard Business School (Baker Scholar).
Lilia is an experienced sustainability and econometrics policy researcher
and a Climate CoLab Fellow at MIT working on Carbon Pricing. She has
previously held roles at CEBDS (Brazilian partner of WBCSD) and United
Nations Environment Programme, and has worked as a research assistant
at the Brazilian Institute of Applied Economic Research investigating
regulatory aspects of a carbon market in Brazil.
Lilia holds a MSc in Energy and Environmental Planning from the Federal
University of Rio the Janeiro and is currently completing a PhD at University
College London in Sustainable Resources Economics.
Mark has 24 years’ experience setting up and running innovative new commercial operations at global technology companies including Google and Microsoft, as well as several UK tech startups.
Most recently he served as Chief Commercial Officer at award-winning AI and augmented reality company Metail, driven by its focus on creating smarter, more sustainable ways to shop for clothes online. Prior to that he was Global Head of Google’s Partner Program based out of San Francisco and London.
Mark is a Fellow of the RSA (Royal Society of Arts, Manufactures and Commerce) and has an MSc in Rural and Regional Resources Planning from Aberdeen University.
Maxime completed his PhD in Statistics at Harvard University this spring, having originally studied Physics and Astrophysics at UC Berkeley.
Joining Cervest with specific expertise in spatiotemporal models and computational methods, he has also worked at Google Geo as a quantitative analyst developing a geostatistical model of local business churn, and as a software developer and data scientist responsible for building prediction models at Gambit Research.
Maxime’s research and publications cover a wide range of topics in spatial statistics, such as bias correction in historical climate data, spatial methodologies for causal inference, and computational methods for Bayesian model selection.
Having studied at the University of Edinburgh, Conan has worked as a full-stack engineer, lead and manager.
He has a keen interest in entrepreneurship and has been building products and bringing them to market in start-ups for over ten years. Focused on the human side of software engineering, he’s delivered applications in sustainability (AMEE), finance (Markit, Entrepreneur First) and e-commerce (Style.com, Bright North). He connects people at the intersection of product, engineering and management to build effective teams and scale products.
Conan is now committed to mission-driven projects, and joined Cervest in 2019 to help solve some of the largest problems facing the world today, using his extensive expertise to bring the future of prediction to today’s climate challenges.
Jev is currently completing a PhD in machine learning and medical imaging at the University of Warwick in the UK. He has a master’s in mathematics from Warwick Mathematics Institute, and an undergraduate degree in mathematics and finance completed in North Carolina, USA.
Joining Cervest with extensive expertise in applying deep learning models to giga-pixel medical and remote sensing images for semantic segmentation, classification and unsupervised learning, Jev has previously worked on machine learning methods for validating exo-planetary signal in Kepler satellite time series data, cell tracking in fluorescence images, as well as financial time series forecasting.
Jev’s research involves building deep learning models that are robust and generalise, and creating automatic machine learning tools for giga-pixel imaging. This involves research in topics, such as selection bias and its effects, hyper-parameter optimisation, and automatic model validation.