June 19 to June 29, 2022 | Nova SBE



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Qiwei Han
Qiwei Han is currently an Assistant Professor of Data Science and Business Analytics at Nova School of Business and Economics (Nova SBE), Portugal. He is an affiliated faculty with the Data Science Knowledge Center of Nova SBE. He received Ph.D. in Engineering and Public Policy and M.S. in Information Networking from Carnegie Mellon University. His research is at the intersection of econometrics and machine learning, using complex data-driven approaches on a variety of projects with societal impacts. He served as the Technical Mentor for Data Science for Social Good Europe program jointly offered by Nova SBE and the University of Chicago in 2017 and 2018. His research appeared in data science and information systems conferences and received the Best Paper Award from International Conference on Social Computing.
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Filipa Reis
Invited Assistant Professor of Data Science at Católica Lisbon School of Business and Economics. Filipa holds a PhD in Public Policy and Management from Carnegie Mellon University, a MSc from CLSBE, and bachelor's degree from Nova SBE. Her research focuses on media consumption patterns and the impact of digitization and convergence technologies on consumer choices and behaviors. She has also participated in experiment-driven business analytics consulting projects for policy formulation and evaluation in the telecommunications sector. Her work has been published in Management Science and presented at top peer-reviewed research conferences such as the International Conference of Information Systems and the Economics of Digitization Seminar Series of the National Bureau of Economic Research. Filipa teaches quantitative and data analysis courses at the undergraduate level including Statistics I, Statistics II, Statistics for Business and Economics, and Business Research Methods.


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Jinjun Xiong
Dr. Jinjun Xiong is an Empire Innovation Professor with the Department of Computer Science & Engineering, University at Buffalo (UB) . He received his Ph.D. degree in 2006 from University of California, Los Angeles (UCLA) with an Outstanding Ph.D. Award, his M.S. degree from University of Wisconsin, Madison in 2002, and his M.S. and B.S. degrees from Tsinghua University in 2000 and 1998, respectively. Before joining UB in 2021, Dr. Xiong was Program Director and Senior Research Scientist at IBM T.J. Watson Research Center, Yorktown Heights, NY. Dr. Xiong also co-founded the IBM Smarter Energy Research Institute and led a number of enterprise-scale collaborations with world-wide electric utility companies to address sustainability issues with renewable integration. He has published more than 150 peer-reviewed papers in top AI conferences and systems conferences. His publication has won seven Best Paper Awards and eight Nominations for Best Paper Awards. Dr. Xiong also won top awards from various international competitions, including the recent Championship Award for the IEEE GraphChallenge on accelerating sparse neural networks, and the Championship Awards for the DAC'19 Systems Design Contest on designing an object detection neural network for both edge FPGA track and the edge GPU track. Many of his research results have been adopted in commercial enterprise-scale products and tools.

Teaching Assistants

Image of Alessandro Gambetti
Alessandro Gambetti
Alessandro Gambetti is currently a Research and Teaching Assistant of Data Science at the Nova School of Business and Economics (Nova SBE), Lisbon, Portugal. He recently received an MSc in Finance from Nova SBE, majoring in Data and Business Analytics, and he holds a BSc in Economics & Finance from the Alma Mater Università di Bologna, Bologna, Italy. His research interests span from applied data science in both social and business sciences in which data may be considered as a driving factor in decision-making. Aside from research, he is currently involved in tutoring MSc students in data-based subjects with the goal of easing the overall learning process.
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Jaime Montana
Jaime Montana is a postdoctoral researcher at PROSPER (CATOLICA-LISBON, School of Business and Economics), where he studies firm performance and workers' wellbeing using large administrative datasets. Jaime received a Ph.D. in Economics from Paris School of Economics under the supervision of David Margolis. Previously, he graduated with a MRes in economics from Paris School of Economics, and an Erasmus Mundus Master in quantitative economics. Jaime's research questions aim at understanding, both from a theoretical and an applied perspective, how workers and firms match, and why skill mismatches occur. He is also interested in informal employment in developing countries and in exploiting non-traditional sources for market information. Jaime has worked in the Colombian Ministry of labor, the private sector, and was a consultant for different multilateral organizations.


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Abisai Perez
Abisai Perez is a Ph.D. candidate in the Department of History at The University of Texas at Austin. His dissertation research explores the early modern Iberian empires in Southeast Asia. While pursuing his doctoral degree, he has transitioned into the world of Data Analysis and Digital Humanities. He holds several certificates in Data Analysis with Python, Statistics, and Introductory Machine Learning. During the summer of 2021, Abisai worked as a data analyst and business consultant in Pintumex, a leading company in the coats and paints industry in Mexico. He produced a statistical analysis of the company´s five decades of existence by following a historical approach and quantitative methods. During the academic year 2021-2022, he was co-instructor of the Spanish Paleography and Digital Humanities Institute at LLILAs Benson Library.
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Anqing Hu
Anqing is currently a Master's student at New York University, majoring in Management of Technology. She obtained her Bachelor's degree in management at Wuhan Textile University in 2021 and visited Hanyang University (Ansan, South Korea) in 2018 and NYU Shanghai in 2021 as an exchange student. She was previously a social media influencer with 6k+ followers and 50k+ likes. Inspired by that experience, her recent research interest is to utilize social media tools in the supply chain for a better management outcome. Outside of her studies, she likes to learn gaming theory and UI/UX design by playing Switch games, traveling and learning new languages. After she finishes her research in NOVA SBE, she will continue her study in a research program at the Technical University of Munich (TUM) and then travel around Europe.
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Elena Pupaza
Elena Pupaza is a social scientist and post-doctoral researcher at Stockholm University Demography Unit (SUDA). She studies behavioural science in a causal inference framework, using quantitative methods and quasi-experimental designs. Her primary research interests are immigrant integration and understanding how migrants shape their local communities. Elena completed her doctoral studies in political science at the London School of Economics in 2021 and went on to research adaptation trajectories of descendants of refugees at Stockholm University, as a post-doctoral researcher in the ERC funded project A Better Life for the Children of Exile: Intergenerational Adaptation of the Descendants of Refugees.
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Filippo Andrei
Filippo Andrei is a doctoral student in sociology and social research at the University of Trento. In April 2018, after graduating in communication studies (with laudem) at the University of Turin, he worked as an assistant researcher at the unit of organization studies of the department of politics, culture and society of Turin. His work focuses on the social mechanisms that generate cooperation and trust in illegal trade on the darknet. Furthermore, he is interested how social structure shapes technology in organizations and, in turn, how technology influences decision making. He has presented his work at the International Conference on Social Dilemmas and at the R&D Management Conference.
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Ishwar Khatri
Ishwar Khatri is a PhD candidate at the NTNU Business School, Norwegian University of Science and Technology (NTNU). I have an MBA in finance (Pokhara University) and a Master’s in International Business (NTNU). My research focuses on corporate social performance and its implications, where I intend to employ experimental and observational data. I am also interested in the quantitative text analysis of corporate annual reports and digital press releases to examine the quality and quantity of such company disclosures and their components.
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Leonie Gehrmann
Leonie Gehrmann is a doctoral candidate in Quantitative Marketing at the University of Mannheim. She obtained both her Bachelor (Economics) and Master (Business Research) degree there as well. Her research mainly focuses on machine learning applications in marketing and consumer psychology. Current projects center on the analysis of text and image data from advertisements. As a lecturer, she teaches courses on Marketing Analytics and R.
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Marc Pocsay
Marc Pocsay is a pre-PhD student at the Graduate School of Business and Economics at Maastricht University. He has worked as a research assistant and econometrics tutors at the same university. His research interests include corporate entrepreneurship and innovation at established corporations. His most recent work has been focused on the corporate venture capital behaviour of family and founder controlled firms.
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Muhammad Masood
Muhammad Masood is a PhD Candidate at the Department of Media and Communication, City University of Hong Kong, HKSAR. His research focuses on the impacts of digital media use, political communication, public opinion, and civic engagement. Masood's PhD dissertation examines the pro-religious-minority implications of digital media use in Pakistan. He studied in four countries and won multiple international fully funded scholarships and research grants. He has published research papers and presented research at numerous scientific conferences across the world.
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Patrícia Machado
Patrícia Machado is currently pursuing a Ph.D. in Management at NOVA School of Business and Economics. Her research interests lie at the intersection of strategy and entrepreneurship. She graduated from Instituto Superior Técnico, Lisbon, in Chemical Engineering, in 2001 and did her MBA at Católica Lisbon School of Business & Economics in 2005-2007. Since then, she has been a Teaching Assistant at Católica for the “Introduction to Management” and “Strategy” courses in the undergraduate programs. After some work experience as an engineer at Novartis Pharma in Basel, Switzerland, and at Portucel, Setúbal, she joined Galp Energia where she worked as a Controller and a Product Manager (2002-2007). Since then, she has acquired an extensive management experience, having worked as an Assistant Director of Corporate Finance at Caixa - Banco de Investimento (2007-2008), as a Supply Chain Manager and Export Markets Director at Quilaban (2008-2016) and as consultant at CESO-Development Consultants (2019-2020). She founded UPA Kids, a Portuguese brand of sustainable children’s furniture, in 2016.
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Qi Shi
I have more than 5 years of research experience in oncology as a researcher. In June 2017, I obtained a Ph.D. degree in Clinical Medicine from Xi'an Jiaotong University. The research is focused on discovering and validating the role of oncogenes in cancer cell signaling pathways in various cellular processes. From 2018 to 2019, I worked as a research specialist at Emory University in the School of Medicine. In 2019, I got a master's degree in medical informatics from the University of Porto, focusing on the model on monitoring the effectiveness of clinical guidelines. To go deeper, I am currently pursuing a master's program in Data Science at NOVA IMS school, focusing on data mining, machine learning, data visualization, deep learning, big data and model management, text mining, etc.
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Ricardo Coelho da Silva
Ricardo Coelho da Silva is a PhD student at NovaSBE, Lisbon, Portugal. He holds a double Master’s degree in Management from the same school, and in Knowledge Management from NovaIMS. His interests include open and user innovation, applications of machine learning in technology and innovation management, and how online communities and projects develop.
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Stefan Munnes
Stefan Munnes is a Berlin based sociologist and interested in all forms of social inequality and the consequences for society. My main motivation is to study social conflicts and ways of dealing with changing societies. Specifically, I have been working primarily on phenomena of antisemitism and gender inequality. I’m also total into coding, have spent the last three years working as a data assistant at the Social Science Center in Berlin, collecting and organizing many different types of data, and since the beginning of this year I am a PhD student in Computational Social Science. In my free time I do weightlifting and like to explore the worlds around me, the analog as much as the digital.

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