{"id":8,"date":"2018-01-30T14:23:56","date_gmt":"2018-01-30T14:23:56","guid":{"rendered":"http:\/\/www.cs.jhu.edu\/~mdredze\/wordpress\/?page_id=8"},"modified":"2025-10-13T17:11:56","modified_gmt":"2025-10-13T21:11:56","slug":"home","status":"publish","type":"page","link":"https:\/\/www.cs.jhu.edu\/~mdredze\/","title":{"rendered":"Home"},"content":{"rendered":"

I am the John C Malone Professor of Computer Science<\/a> at Johns Hopkins University<\/a>. I am the Inaugural Director for the JHU <\/a>Data Science and AI Institute<\/a>.<\/p>\n

Speaker bio and photo<\/a><\/p>\n

Research Interests<\/h3>\n

My research develops statistical models of language with applications to social media analysis, public health, and clinical informatics.
\nKeywords: Natural Language Processing, Machine Learning, Health Informatics, Clinical NLP, Computational Epidemiology<\/p>\n

How to be a Successful PhD Student<\/h3>\n

Hanna Wallach and I wrote a guide on How to be a Successful PhD Student<\/a>. It’s geared for PhD students in general, but focuses on CS, machine learning, and NLP students.<\/p>\n

I wrote a book!<\/h3>\n

Michael Paul and I wrote a book on social media and public health<\/a>. The book provides an introduction to the field for public health practitioners, computer scientists and data scientists.<\/p>\n

“I want to work with you.”<\/h3>\n

Great! Please contact me if you are a JHU student. It is probably helpful if you’ve taken natural language, machine learning or artificial intelligence. If you are interested in becoming a JHU student, you can read details here<\/a>.<\/p>\n

“How do you pronounce your last name?”<\/h3>\n

Spelled: Dredze, Pronounced: Dredzee<\/b><\/p>\n

Education<\/h3>\n

Northwestern University<\/a>: BS in Computer Science, BS in Computer Engineering
\nYeshiva University<\/a>: MA in Jewish Studies
\nUniversity of Pennsylvania<\/a>: PhD in Computer Science (Adviser: Fernando Pereira<\/a>)<\/p>\n

Industry<\/h3>\n

Microsoft<\/a>: Summer intern
\nIBM TJ Watson Research Center<\/a>: Summer intern
\nGoogle Research<\/a>: Summer Intern
\nBloomberg LP<\/a>: Sabbatical<\/p>\n

Links<\/h3>\n