Computer Science faculty win 2020 Discovery Awards
In 2020, 41 Discovery Awards were given to interdisciplinary faculty teams across eleven units of Johns Hopkins. From utilizing machine learning to optimize stroke critical care to tackling CO2 emissions to addressing food insecurity, these Discovery Awards are solving complex problems and expanding the horizons of knowledge.
Altogether, the winning project teams—chosen from 274 proposals—include 136 individuals representing 11 Johns Hopkins entities. Four awarded projects include faculty from the Department of Computer Science:
Data-driven AI models for Document Analysis in Medicine, Social Sciences, and the Humanities– Thomas Lippincott (Engineering/CS), Margaret Chisolm (Medicine), Francois Furstenberg (Arts & Sciences) & Tara Sell (Public Health)
Emulating How Experts Think… Under Unknown Objectives and Constraints: Augmenting Machine Learning through Inverse Optimization to Automatically Generate Personalized Treatment Plans– Kimia Ghobadi (Engineering/CaSE)), Tinglong Dai (Carey Business School), Ilya Shpitser (Engineering/CS) & Todd McNutt (Medicine)
Evaluating and Overcoming Performance Biases Against Underrepresented Populations in Deep Learning for Diagnosis of Disease on Medical Images– Paul Yi (Medicine), Jeremias Sulam (Engineering/BME), Ilya Shpitser (Engineering/CS), Cheng Ting Lin (Medicine), Tin Yan Alvin Liu (Medicine) & Elise Ng (Medicine) (BME and CS)
Hiding in Plain Sight “Stigmatizing Language in Patients” Medical Records– Mary Catherine Beach (Medicine) & Mark Dredze (Engineering/CS)