About Me
Marcos Machado is an Assistant Professor in Business and Information Systems at the Industrial Engineering and Business Information Systems (IEBIS) department section of the University of Twente. His current research interests are focused on the applications of machine learning algorithms, data science, and analytics to solve business problems.
He received his Ph.D. in Modelling and Computational Science from the Ontario Tech University (Canada), and he holds a MSc in Production Engineering from the University of Sao Paulo (Brazil) and a BSc in Mathematics from the Federal Institute of Education, Science, and Technology of Ceara (Brazil). He also has over seven years of experience working in the Brazilian and Canadian banking industries.
Expertise
Organisations
Google Scholar Link
Education
Teaching (Teacher/Tutor):
- IEM/BIT M3: Business Process Management (BPM)
- M-BIT: Smart Industry Systems (SIS)
- M-BIT: Applications of AI in Business (AAIB)
- IBA (Minor): Enterprise Software (ES)
Supervision of BSc thesis projects (1st or 2nd Supervision):
- (Finished) Kristupas Raicevicius
- (Ongoing) Jasper van Beurden
- (Ongoing) Tijmen Prins
- (Ongoing) Giovanni Herbert
- (Ongoing) Tom Frieling
- (Ongoing) Nicole Busse
- (Ongoing) Marcus Muller
- (Ongoing) Zoelle van Bommel
- (Ongoing) Simon Prinsen
- (Ongoing) Halyn Cho
Supervision of MSc thesis projects (1st or 2nd Supervision):
- (Finished) Roel Bruins
- (Ongoing) Vibha Ravindra
- (Ongoing) Alessandra Amato
- (Ongoing) Daniel Chen
- (Ongoing) Edo Belva Firmansyah
- (Ongoing) Michael Michael
- (Ongoing) Luca Kozian
- (Ongoing) Jaap Beltman
Affiliated Study Programmes
Bachelor
Master
Courses Academic Year 2022/2023
Courses Academic Year 2021/2022
Projects
My research projects involve using analytics, econometrics, applied statistics, and mathematics, data-driven methods, and machine-learning algorithms to solve business problems. Currently, with Jorg Osterrieder and Jos van Hillegersberg, Marcos Machado runs the research project "Artificial Intelligence (AI) in Finance" jointly with ING Group as part of the Kickstart AI initiative. In the ING Group (ING) - University of Twente (UT) Cooperation, we have been working on different topics:
- Applications of synthetic data generation for Finance
- Research on risk management-related topics
- Privacy-enhancing techniques for storing and analyzing confidential data
- Federated Learning
- Applications of Reinforcement Learning in Finance
- The value of innovation projects in Finance
- The use of the "meta labeling" technique (tailored to non-HFT strategies)
- Early warning systems for credit risk
Current Projects
Contact Details
Visiting Address
University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn
(building no. 10), room 3105
Hallenweg 17
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Behavioural, Management and Social Sciences
Ravelijn
3105
P.O. Box 217
7500 AE Enschede
The Netherlands