Members

Dr. Hung-Yi Chen is Assistant Dean, Academic Director (Master of Finance Program) & Asst. Professor at Zhejiang University International Business School. Dr. Chen is the founding academic director of their Master of Finance programme at International Business School, Zhejiang University (QS World Rankings #45). Prior to his career at Zhejiang University, He served as Asia-Pacific Region Manager for Cambridge Centre for Alternative Finance (CCAF), Judge Business School at University of Cambridge. At CCAF, he managed FinTech research activities and expanded international outreach across Asia-Pacific countries. Dr. Chen co-authored six impactful reports published by CCAF to review FinTech development and regulation in the region.

Big Data Machine Learning Deep Learning Bioinformatics Drug Discovery Forensics 3D Image processsing

Regarding the pandemics impacts and response, we believe that the Brazilian case, given its diversity, persistent inequality and continental dimensions, can bring insights and lessons that will be useful to both poor and rich countries. In short, FGV Social will process multiple sources of information in order to assess all policies and actions implemented in Brazil to diminish the pandemics’ negative impacts, especially on vulnerable groups such as the elderly, individuals with morbidities, through social distancing etc, besides proposing solutions to improve or change them. Some of the expected outcomes of the research partnership are the following: i) Empirical data diagnosis describing the reality of the vulnerable population before and after the pandemics in Brazil and elsewhere using fresh sources of microdata (e.g. first-hand assessment on poverty and inequality changes and the identification of new behavioural and perceptions patterns). ii) Estimating the coverage and effectiveness of the government measures taken to mitigate the pandemics’ effects, in addition to propose upgrades, complementary policies and empirical experiments. iii) Impact the public opinion through the diffusion of our previous research results in a wide and friendly data set with interactive maps, rankings, tables and simulators based on statistical models are available in the internet at: https://cps.fgv.br/en/covid-impacts For more information and for contacting FGV Social, feel free to e-mail Marcelo Neri, the Centre’s Director, at marcelo.neri@fgv.br. The Centre for Bureaucracy Studies (NEB) is a research group at FGV that analyses public policies by considering the public servants that conceive them in practice. During the coronavirus pandemics, NEB has conducted research to understand the effects of the pandemics on frontline workers from the areas of health, social assistance and security, drawing from surveys and interviews and collecting data with more than 10000 frontline workers throughout Brazil to assess how the pandemics has altered work practices and how frontline workers have experienced these changes. Besides that, NEB has also analysed the effects of the pandemics on gender, with a focus on female health workers. For more information and for contacting NEB, feel free to e-mail Gabriela Lotta, Professor at Public Administration at FGV and NEB’s Coordinator, at the address gabriela.lotta@fgv.br.

Consulting / Advisory Services areas: • Big Data Strategy design • Analytics Applications’ roadmap design • Wider Analytics technology infrastructure architectural design and implementation • Analytics’ neighboring domains roadmap design, i.e. Loyalty Scheme design and implementation, Marketing Automation/Campaign Management systems, Mobile Applications’ hosting/integrating technologies, … Professional Implementation Services Generic Analytics Applications & Methodologies: • Value-based Segmentation or/and RFM Analysis • Behavioral Segmentation Analysis • Strategic Segmentation Analysis • Next Best Offer Analysis • Cross/Up/Deep-Selling Propensity Modeling • Early Warnings on Signs of Customers’ Defection Analysis • Anti-Attrition / Churn Propensity Modeling • Social Network Analysis (SNA) • Forecasting Analysis • Credit Risk Modeling (PD, LGD, …) • Pre-Collections & Collections Modeling Industry-specific Analytical Solutions: • Total Enterprise Streamlined Customer Management for Next Best Action (NBA) • Performance Forecasting & Distribution Network Target Allocation • Customer Lending Optimization (CLO) • Geolocation Analytics for Cards’ transactions’ boosting, penetrating loyalty partners’ network (merchants) • Customer “Digitalization” Solution • Customer Onboarding Strategy Solution • Complaints Management via Text Analytics • Streamlined solution for IFRS9 Risk Regulatory Framework compliance and overall processes management.