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.
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.
Undergraduate Research Assistants
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
Alumni
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