Discipline: Computer Science, Data Science, Engineering, Management, Marketing
Role: Post-Doctoral Fellow
Topic: AI / Machine Learning, Cybersecurity, Data & Analysis
What I do
I design new machine-learning methods aimed at addressing organizational decision-making challenges such as anomaly detection, resource allocation, and fair marketing.
What I care about
The long-term objective of my research is to provide new insights into the ongoing tension between data privacy and data utility in organizational settings, discover hidden pitfalls and privacy risks emerging from online data sharing, and design novel solutions that balance data privacy and data utility.
How I connect to the D^3 Mission
I am profoundly interested in researching new machine-learning techniques that can be used to boost organizations' performance and decision-making systems.