2022-2023 AI2AI Fellows

The Johns Hopkins University + Amazon Initiative for Artificial Intelligence (AI2AI) has selected 6 JHU WSE Ph.D. candidates for its inaugural round of Amazon Fellows. These individuals have been selected based on their outstanding publication record, research proposal, and mentor support. They represent the Departments of Electrical and Computer Engineering, Computer Science, and Biomedical Engineering.

2022-2023 AI2AI Fellowship Award Winner, Jeya Maria Jose

Jeya Maria Jose

Ph.D. Student, Department of Electrical and Computer Engineering
Jeya Maria Jose is a 4th year PhD student in the Department of Electrical and Computer Engineering, working with Dr. Vishal Patel and expecting to graduate in Summer/Fall 2023. His research is focused on developing effective backbones and transfer learning approaches for computer vision applications. It is centered around solving some real-world problems for large scale computer vision and medical imaging tasks with minimal supervision.

Jeya is from Madurai, Tamil Nadu, India, and earned his Bachelor's degree from National Institute of Technology, Trichy, India. He fills his free time by listening to music, reading fiction, watching movies, dabbling in philosophy, and following football.

Personal Website: https://jeya-maria-jose.github.io/research/

2022-2023 AI2AI Fellowship Award Winner, Kelly Marchisio

Kelly Marchisio

Ph.D. Student, Computer Science
Kelly Marchisio, from New Providence, NJ, is a 5th year PhD student (expected graduation: May 2023) in Computer Science, working at the Center for Language and Speech Processing and advised by Dr. Philipp Koehn. Her research is in machine translation, particularly for languages currently underserved by language technologies. Her recent work concerns the question: If given data from two languages but no knowledge of which words are translations of one another, how can one recover the translations? Recently, she has begun examining how to efficiently make existing language technologies work for new languages. Previously, she earned an MPhil in Advanced Computer Science from the University of Cambridge (2018), an Ed.M. in Mind, Brain, and Education from the Harvard Graduate School of Education (2013), and a BA in Psychology/Sociology from Franklin & Marshall College in Lancaster, PA (2012). Before returning to academia for graduate studies in computer science, she was a web developer at Google. Kelly enjoys classical singing and was a soprano Choral Scholar at Christ's College, University of Cambridge. She toured internationally with the choir to Canada, Singapore, and New Zealand.

Personal Website: https://kellymarchisio.github.io/

2022-2023 AI2AI Fellowship Award Winner, Arya McCarthy

Arya McCarthy

Ph.D. Student, Computer Science
Arya McCarthy is a 5th year PhD student in the computer science department, working with Dr. David Yarowsky and expecting to graduate in May 2023. In his current work, he designs principled and generalizable models of language, reaching into and across families. The work spans machine translation of text, spoken language translation, and word formation processes, including an analysis of color words across thousands of languages.

Arya previously attended Southern Methodist University, where he earned his B.S. in math and computer science, and his M.S. in computer science. While he is originally from Dallas, Texas, he has also called Edinburgh, Boston, Baltimore, the Bay Area, and New York his home. In his spare time, he bagpipes–a self-proclaimed great way to social distance–in addition to baking, biking, reading, and running.

Personal Website: cs.jhu.edu/~arya

2022-2023 AI2AI Fellowship Award Winner, Carolina Pacheco Oñate

Carolina Pacheco Oñate

Ph.D. Student, Biomedical Engineering
Carolina Pacheco Oñate is a 5th year Biomedical Engineering (BME) PhD candidate at Hopkins, working with Dr. René Vidal and expecting to graduate in 2024. Her research interest lies at the intersection of machine learning, computer vision, and biomedical sciences, with particular focus on developing algorithms dealing with limited amount of annotated data. She has worked on projects involving classification of stem cell-derived cardiomyocytes, multi-view action recognition in infants, and motor imitation assessment in children to inform autism diagnosis. She is currently developing unsupervised and weakly supervised methods for reconstruction, object detection, and classification in lensless images, exploring their potential for early detection of urinary tract infection and other applications. Carolina was born and raised in Chile, where she earned her Bachelor's degree in electrical engineering from University of Chile. After graduating, she decided to direct her career towards biomedical sciences, so she came to Hopkins to get a Master's degree in biomedical engineering, and then continued pursuing a doctoral degree. In her spare time, she enjoys outdoor activities such as biking, hiking, and daily walks.

Personal Website: https://sites.google.com/view/carolina-pacheco

2022-2023 AI2AI Fellowship Award Winner, Desh Raj

Desh Raj

Ph.D. Student, Computer Science
Desh Raj is a 5th year PhD student in the Department of Computer Science, where he works at the Center for Language and Speech Processing and is advised by Dr. Sanjeev Khudanpur . He is expected to graduate in Fall 2023. Desh grew up in India and graduated from Indian Institute of Technology Guwahati (IIT Guwahati) in 2017 with a Bachelor's in computer science.

He has worked on several things under the broad umbrella of speech processing, but his thesis is focused on building systems that can recognize free-flowing multi-party conversations. He develops models that tell you, ``who spoke when and what,`` enabling applications such as real-time meeting transcription and smart medical assistants.

When not working, Desh splits his time doing bouldering, picking his guitar, and reading fiction.

Personal Website: https://desh2608.github.io/

2022-2023 AI2AI Fellowship Award Winner, Anshul Shah

Anshul Shah

Ph.D. Student, Computer Science
Anshul Shah is a fifth year PhD student in the Computer Science department working with Dr. Rama Chellappa, and he expects to graduate in 2023. His research interests are in the area of pose-based video understanding, self-supervised learning, and multi-modal learning. Some of his current ongoing projects include developing pose-based action recognition models to help in the early diagnosis of developmental disorders, and a project to extract key steps from procedural videos without labels, which is suited to AR applications. In the past, Anshul obtained an M.S. in Computer Science from the University of Maryland, College Park, and he received his B.Tech (Honors) and M. Tech in Electrical Engineering from the Indian Institute of Technology Madras. He hails from Vadodara, a city in Gujarat, India, and likes to cook and travel in his spare time.

Personal Website: anshulbshah.github.io