Dr Felipe Maldonado
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Email
felipe.maldonado@essex.ac.uk -
Telephone
+44 (0) 1206 876231
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Location
3A.533, Colchester Campus
Profile
Biography
I am a Lecturer (Assistant Professor) at the School of Mathematics, Statistics and Actuarial Science, at the University of Essex. Before that I was a Postdoctoral Researcher at the Technical University of Munich (Department of Informatics) working with Martin Bichler on electricity market design. Before moving to Germany, I did my PhD studies at the Australian National University (School of Computer Science), working with Pascal Van Hentenryck and Gerardo Berbeglia. During my stay in Australia I was also part of CSIRO-Data61. Prior to that I worked for 2 years at the University of Concepcion, Chile as a sessional lecturer. Before that I studied Mathematical Engineering at the University of Chile, and I worked with Roberto Cominetti on my final thesis. Interests
- Reinforcement Learning (RL)
- Energy Analytics and Market Design
- Operational Research (OR)
- Logistics and Supply Chain
- Consumer Behaviour and Revenue Management
- Fintech
- Natural Language Processing (NLP)
Qualifications
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PhD in Computer Science Australian National University, (2020)
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Mathematical Engineering (BA + MSc) University of Chile, (2012)
Appointments
University of Essex
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Lecturer in Data Science and Operational Research, School of Mathematics, Statistics and Actuarial Science, University of Essex (5/7/2021 - present)
Other academic
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Postdoctoral Researcher, Decision Sciences & Systems, Technical University Munich (1/10/2019 - 30/6/2021)
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PhD Researcher, Data61, Commonwealth Scientific and Industrial Research Organisation (5/7/2015 - 31/7/2019)
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Research Visitor Scholar, Department of Industrial and Operations Engineering, University of Michigan (2/11/2015 - 31/5/2016)
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Instructor, Department of Mathematical Engineering, University of Concepcion (1/3/2013 - 30/1/2015)
Research and professional activities
Research interests
Supply Chain & Logistics - Machine Learning Approach
Use of techniques such as Reinforcement Learning and Monte Carlo Tree Search for traditional problems of Supply Chain and Logistics.
Market Design and Optimisation
With a particular focus on Energy Markets with a strong presence of renewables and an active demand side.
Revenue Management
Studying problems such as optimal assortment, pricing. Ranking selection and analysis of consumer behaviour.
Reinforcement Learning
Natural Language Processing, Large Language Models
Energy Analytics
Time Series Analysis
Teaching and supervision
Current teaching responsibilities
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Optimisation (Linear Programming) (MA205)
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Dynamic Programming and Reinforcement Learning (MA338)
Current supervision
Previous supervision
Degree subject: Data Science
Degree type: Doctor of Philosophy
Awarded date: 4/7/2024
Publications
Journal articles (5)
Martin, B., Johannes, K. and Maldonado, F., (2023). Pricing in Non-Convex Markets: How to Price Electricity in the Presence of Demand Response. Information Systems Research. 34 (2), 652-675
Bichler, M., Buhl, HU., Knörr, J., Maldonado, F., Schott, P., Waldherr, S. and Weibelzahl, M., (2022). Electricity Markets in a Time of Change: A Call to Arms for Business Research. Schmalenbach Journal of Business Research. 74 (1), 77-102
Maldonado, F. and Saumweber, A., (2022). Why Do Pricing Rules Matter? Electricity Market Design with Electric Vehicle Participants. World Electric Vehicle Journal. 13 (8), 143-143
Maldonado, F., Van Hentenryck, P., Berbeglia, G. and Berbeglia, F., (2018). Popularity signals in trial-offer markets with social influence and position bias. European Journal of Operational Research. 266 (2), 775-793
Maldonado, F., Van Hentenryck, P., Berbeglia, G. and Berbeglia, F., (2018). Popularity signals in trial-offer markets with social influence and position bias. European Journal of Operational Research. 266 (2), 775-793
Conferences (2)
Abeliuk, A., Berbeglia, G., Maldonado, F. and Van Hentenryck, P., (2016). Asymptotic optimality of myopic optimization in trial-offer markets with social influence
Van Hentenryck, P., Abeliuk, A., Berbeglia, F., Maldonado, F. and Berbeglia, G., (2016). Aligning popularity and quality in online cultural markets
Reports and Papers (2)
Ashour Novirdoust, A., Bichler, M., Bojung, C., Buhl, HU., Fridgen, G., Gretschko, V., Hanny, L., Knörr, J., Maldonado, F., Neuhoff, K., Neumann, C., Ott, M., Richstein, JC., Rinck, M., Schöpf, M., Schott, P., Sitzmann, A., Wagner, J., Wagner, J. and Weibelzahl, M., (2021). Electricity Spot Market Design 2030-2050
Maldonado, F., Berbeglia, G. and Hentenryck, PV., (2020). Pricing under a multinomial logit model with non linear network effects
Grants and funding
2024
To embed new capabilities in machine learning and generative AI within Geologix, for the purpose of delivering automated actionable insights to the energy sector.
Innovate UK (formerly Technology Strategy Board)