Farah E. Shamout, Principal Investigator

Farah Shamout is an Assistant Professor of Computer Engineering at NYU Abu Dhabi, where she leads the Clinical Artificial Intelligence Lab. She is also an Associated Faculty at the NYU Tandon School of Engineering (Computer Science & Engineering and Biomedical Engineering Departments) and an Affiliated Faculty at NYU Langone Health (Radiology). Prior to pursuing the tenure-track position, Dr. Shamout spent three years at NYU as an Assistant Professor Emerging Scholar, during which she received the Campus Life Faculty Leadership Award in 2021. Dr. Shamout completed her DPhil (PhD) in Engineering Science at the University of Oxford as a Rhodes Scholar and was a member of Balliol College. Her doctoral research focused on developing early warning models using electronic health records data to predict in-hospital clinical deterioration. While at Oxford, Shamout taught with the inaugural UAE-Oxford Artificial Intelligence Program and worked on global data commons and digital health policy. She also completed her BSc in Computer Engineering (cum laude) at NYU Abu Dhabi.

Congbo Ma, Post-doctoral Associate

Dr. Congbo Ma is a post-doctoral associate at the Clinical Artificial Intelligence Lab. She was a postdoctoral research fellow at Macquarie University and a visiting researcher at MBZUAI. Dr. Congbo obtained her PhD in computer science from the University of Adelaide. Her research focuses on medical machine learning, NLP, data mining, and multi-modal learning. She has published over 20 peer-reviewed papers in top conferences and journals, including ACM Computing Surveys, WWW, EMNLP, MICCAI, CVPR, and IJCAI. Dr. Congbo is also actively involved in academic service, such as reviewer for KDD, WWW, CIKM, ACL, EMNLP, NAACL, IJCAI, Neural Networks, and Neurocomputing, area chair and online session chair for IJCNN, proceedings chair for ADMA. She received the ADMA 2024 outstanding service award, adelaide travel grant, and IJCNN travel grant. Dr. Congbo has extensive teaching experience across eight courses at multiple universities, serving as a tutor, guest lecturer, course designer, and online session coordinator.

Shaza Elsharief, Research Assistant

Shaza Elsharief is a research assistant at the Clinical Artifical Intelligence Lab. Prior to joining the lab, Shaza obtained a BSc in Computer Engineering from New York University Abu Dhabi in 2023. As part of her undergraduate capstone project, Shaza developed a smart health-tracking device and a machine learning model to aid the assessment of breast cancer prognosis under the supervision of Professor Farah Shamout. Shaza has since developed a keen interest in research at the intersection of machine learning and healthcare and is currently working on developing self-supervised multi-modal methods for clinical applications.

Saeed Shurrab, Graduate Research Assistant

Saeed Shurrab completed an MSc in Data Science and Artificial Intelligence at Jordan University of Science and Technology with the German Academic Exchange Scholarship (DAAD). He graduated in 2022 with Distinction. Prior to that, he completed a BSc in Industrial and Systems Engineering from the Islamic University of Gaza - Palestine in 2014. His keen interest in data analytics and beliefs in the role that data can play in creating robust decisions and better solutions encouraged him to join the field of data science. Currently, Saeed focuses on developing deep neural networks and their applications to healthcare problems.

Julian Lechuga Lopez, Graduate Research Assistant

Julian Lechuga Lopez has a double Master’s degree in Mathematics and Informatics with specialization in Data Science from Université de Paris Cité. Born and raised in Mexico, he obtained a BSc degree in Mechatronics Engineering from the Instituto Tecnológico y de Estudios Superiores de Monterrey ITESM. In 2018, he was awarded a research fellowship from the Japanese International Cooperation Agency JICA to work under the supervision of Dr Tomohito Yamamoto at the Kanazawa Institute of Technology. Their work focused on the intersection of augmented reality and deep learning to analyse heartbeat data. He is very passionate about the use of machine learning and deep learning in different areas of healthcare to develop applications that can positively impact the lives of people across the globe.

Dmytro Zhylko, Graduate Research Assistant

Dmytro Zhylko is a PhD student at NYU Tandon School of Engineering. He has a Masters in Data Science and spent the last 4 years working with NLP models and text data with specific focus on text classification and information retrieval at AGH UST and a year working on Time Series Forecasting at NVIDIA. Now Dima is eager to explore the emerging field of Deep Learning applications in healthcare.

Baraa Al Jorf, Graduate Research Assistant

Baraa Al Jorf is an NYU Abu Dhabi Global PhD fellow working on breast cancer detection and precision medicine. He completed his BSc in Computer Engineering at NYU Abu Dhabi in 2023. Baraa's previous experience includes working in the Clinical AI lab as part of the Postgraduate Training Program, where he focused on preprocessing mammograms and ultrasound datasets. Passionate about the potential of AI to revolutionize healthcare, Baraa envisions a future where technology empowers both medical professionals and patients, enhancing diagnostic capabilities and transforming treatment strategies.

Chaimae Abouzahir

Undergraduate research assistant

Mouath Abu-Daoud

Undergraduate research assistant

Firas Darwish

Undergraduate research assistant

Dhiyaa Al Jorf

Undergraduate research assistant

Aadim Nepal

Undergraduate research assistant

Alejandro Guerra Manzanares

Post-doctoral associate (2022-2024)

Omar El Herraoui

Undergraduate Research Assistant (2023-2024)

Hamdan Zoghbor

Undergraduate Research Assistant (2023-2024)

Sarah Pardo

Research Assistant (2022-2024)

Hazem Lashen

Postgraduate Practical Training Program (2022)

Mohamed Abdulla Alhosani

Postgraduate Practical Training Program (2022)

Nasir Hayat

Research Assistant (2020-2022)
Currently MLOps Engineer at G42 Healthcare

Georgiy Skovorodnikov

Undergraduate Research Assistant, Computer Science (2021-2022)

Pengyu Wang

Undergraduate Research Assistant, Computer Science (2020-2021)

Vee Nis Ling

Undergraduate Research Assistant, Computer Science (2020-2021)

Ghadeer Ghosheh

Undergraduate Research Assistant, Computer Engineering (2020-2021)
Currently DPhil candidate at the University of Oxford

Bana Alamad

Undergraduate Research Assistant, Biology (2020)
Currently DPhil candidate at the University of Oxford

Kai-Wen Yang

Undergraduate Research Assistant, Electrical Engineering (2020)
Currently Master's student at John Hopkins

Cristian Garcia

Undergraduate Research Assistant, Electrical Engineering (2020)
Currently Product Manager at noon

Munachiso Nwadike

Undergraduate Research Assistant, Computer Science (2020)
Currently Master's student at MBZUAI

Takumi Miyawaki

Undergraduate Research Assistant, Computer Engineering (2020)

Siba Siddique

Visiting Master's Student, Human Computer Interaction (2019-2020)
Currently Master's student at Duke University