DSSGx Munich
OUR fellows 2024

Masabah holds a Master's degree in Data Science from the School of Electrical Engineering and Computer Science (SEECS) at NUST, Islamabad. With a strong research focus on machine learning and big data analytics, she brings deep expertise in leveraging advanced technologies to address complex societal challenges. Masabah is skilled in building robust machine learning models, extracting actionable insights from large datasets, and employing cutting-edge techniques in data analysis. Developing a data driven solution across healthcare, environmental monitoring, and other industries - she is your go to expert.

Ayesha earned a Master's degree in Computer Science from GC University Faisalabad. Her research interests span the fields of artificial intelligence and applied machine learning, with a particular focus on advanced modeling techniques for data-driven insights. Her previous work included pioneering research in automated detection and analysis of lung nodules in CT scan images, utilizing state-of-the-art models to improve diagnostic accuracy and efficiency. She is the go-to expert for neural network architecture design. 

Belén holds a Bachelor's degree in Sociology from the University of Buenos Aires and a graduate diploma in Computer Science and Digital Humanities from the University of San Martin. She is currently pursuing a Master’s in Urban Social Policies at the University of Tres de Febrero. Her research focuses on public policy monitoring and evaluation. She is the go-to expert for merging data science with social impact studies.

Derya studied Economics at Lomonosov Moscow State University and is currently completing a Master’s in Data Science and Business Analytics at Bocconi University. Her research focuses on statistics, with a particular interest in interpretability in machine learning. She is currently working on her thesis on Bayesian networks and has built hands-on skills in market research as an analyst. Regarding causal inference and interpretability, Derya is the go-to expert.

Manpa is currently pursuing an MSc. in Information Technology (INFOTECH) at the Universität Stuttgart. Her current research focuses on enhancing cryptographic knowledge of Large Language Models (LLMs), computer vision and eye tracking. With a keen interest in these fields, she is dedicated to pushing the boundaries of technology and its applications. In her research, she worked on improving the natural understanding and mathematical reasoning skills of popular LLMs. For mathematical understanding in LLMs, design and analysis of eye tracking experiments, Manpa is the go-to expert. 

Anthony is a Ph.D. candidate in Survey and Data Science at the University of Maryland. He holds an M.A. in Experimental Psychology from Towson University and a B.A. in Psychology with a Minor in Philosophy from the University of Baltimore. In his research, he uses principles of survey methodology and data collection to improve machine learning and AI model training. Anthony is proficient in experimental design, questionnaire design, data analysis, statistical modeling, and large-scale survey research. For quantitative social science, Anthony is our go-to expert.

Patricio is a Sociology graduate from Universidad Nacional del Litoral and holds a diploma in Data Science, Machine Learning, and its Applications from Universidad Nacional de Córdoba. Over the past four years, he has worked as a data analyst on projects in the public and private sectors. His research focuses on integrating the theoretical and methodological foundations of sociology with the advanced capabilities of modern data collection, analysis, and prediction technologies. For integrating sociology with data science, Patricio is the go-to expert.

Jorge holds a Bachelor's degree in Public Policy from the Center for Research and Teaching in Economics (CIDE) and an M.Sc. in Data Science for Public Policy from the Hertie School. In his research, he has worked on survival analysis, geocodification, and web scraping. Jorge has worked extensively on the Decision Analysis Project in Uncertain Contexts (PADeCI), where he has developed quantitative and qualitative skills. Regarding data-driven insights for public policy challenges, Jorge is the go-to expert.