Team
Meet our team
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Dr Gianmarco Mengaldo is an assistant professor in the Department of Mechanical Engineering at National University of Singapore (Singapore), and Honorary Research Fellow at Imperial College London (United Kingdom).
Assistant Professor @ NUS
Dr Gianmarco Mengaldo is an assistant professor in the Department of Mechanical Engineering at National University of Singapore (Singapore), and Honorary Research Fellow at Imperial College London (United Kingdom).
Dr Gianmarco Mengaldo is an Assistant Professor in the Department of Mechanical Engineering at National University of Singapore (Singapore), and an Honorary Research Fellow at Imperial College London (United Kingdom).
He received his BSc and MSc in Aerospace Engineering from Politecnico di Milano (Italy), and his PhD in Aeronautical Engineering from Imperial College London (United Kingdom). After his PhD he undertook various roles both in industry and academia, including at the European Centre for Medium-Range Weather Forecasts (ECMWF), the California Institute of Technology (Caltech), and Keefe, Bruyette and Woods (KBW).
Dr Mengaldo’s adopts an interdisciplinary approach integrating mathematical and computational engineering to study complex systems that arise in applied science. His current research interests involve (i) explainable AI, both theoretical and applied, (ii) the intersection between AI and domain knowledge, (iii) data-mining technologies for coherent pattern identification, and (iv) high-fidelity multi-physics simulation tools. Dr Mengaldo’s main application areas include engineering, geophysics, healthcare, and finance. Learn about his research group below.
Xin Wang is a Postdoctoral Research Fellow at MatheXLab. He received his PhD from Tsinghua University in January 2024. During his Ph.D., he primarily focused on AI for Climate, mainly using deep learning models to enhance General Circulation Models (GCM) in computational efficiency and prediction skills. He developed the world's first innovative ML-hybrid GCM, which achieved decades of stable simulations. He is exploring the applications of generative and explainable AI in weather research and developing hybrid modeling approaches for climate simulation and mid-range weather forecasting.
Luwei Xiao, Ph.D. is a Research Fellow at the National University of Singapore. He obtained his Ph.D. from East China Normal University, where his research focused on AI for Climate, Multimodal Learning, Affective Computing, and LLMs. Dr. Xiao has published over ten papers in leading international journals and conferences, including two ESI Highly Cited Papers. He led the Excellent Doctoral Student Academic Innovation Project at ECNU and has contributed to several major research initiatives, including the NSFC Young Scientist Fund, Shanghai Science and Technology Commission projects, and collaborations with Huawei Noah’s Ark Lab.
His academic achievements have been recognized through multiple honors, such as the Huaxin Scholarship, ECNU Outstanding Student, 2025 Outstanding Dissertation (School of Information Science), and Shanghai Outstanding Graduate. Dr. Xiao also serves as a reviewer for premier conferences and journals, including NeurIPS, ICLR, ICML, EMNLP, AAAI, ACM MM, and several IEEE Transactions (TKDE, TAFFC, TMM, TASLP and etc).
Jiawen Wei is a PhD student in the Department of Mechanical Engineering at National University of Singapore, advised by Prof. Gianmarco Mengaldo. Her current research interests include explainable AI and its evaluation, particularly the robustness of feature attribution methods, adversarial machine learning guided by sample importance interpretation, foundation models for time series, and LLM reasoning for scientific domains with a focus on extreme events.
Chenyu Dong is a Ph.D. student at the National University of Singapore under the supervision of Prof. Gianmarco Mengaldo. His research interests include nonlinear dynamics, complexity and predictability of dynamical systems, weather and climate dynamics, with a specific focus of data-driven methods. Besides, Chenyu is also interested in understanding dynamical pathways leading to extreme events in complex systems utilizing recently develop diagnostic tools.
Zhou is a Ph.D. student in the Mechanical Engineering Department at the National University of Singapore. Her research interests center on dynamical system modeling and scientific machine learning. At present, she is actively engaged in leveraging advanced machine learning frameworks to model weather dynamics, as well as improving the transparency of the AI-based model. She strongly believes that fostering more accurate and trustworthy machine learning practices is essential and will greatly benefit the scientific community.
Keane received his bachelor’s in mechanical engineering from the National University of Singapore in 2023. During his undergraduate years, he developed a keen interest in Fintech and AI, completing several projects related to natural language processing (NLP) and financial forecasting. Today, he is a Ph.D. student at the National University of Singapore within the Asian Institute of Digital Finance under the Digital Fintech programme. He is co-supervised by Prof Gianmarco Mengaldo from the National University of Singapore and Prof Erik Cambria from Nanyang Technological University. Keane's current research focus is explainable NLP methods for sustainable finance, delving into firm sustainability analysis and asset forecasting.
Bayan Abusalameh is an Applied Machine Learning PhD Candidate at the National University of Singapore, where her research focuses on developing rigorous, auditable interpretability (XAI) for complex, non-stationary time series. Her foundational work involves building end-to-end pipelines that classify nonlinear behaviors directly from raw time series, pairing deep models with attribution maps and causal corruption tests. This work is currently being extended to detect nonlinear mode interaction in coupled engineering systems and to develop conservative out-of-distribution (OOD) alarms with interpretable uncertainty for biomedical signals. Her goal is to deliver open-source, quantitative tools that enable trustworthy ML for critical decision systems in science, and engineering.
Vishal is a Ph.D. student at the National University of Singapore, supervised by Prof Gianmarco Mengaldo. Before starting his Ph.D., Vishal obtained an undergraduate degree from IIT Kanpur (India) and worked as a data scientist in industry. His research area focuses on developing novel agnostic interpretability methods for deep learning, as well as self-interpretable deep learning algorithms. The main application areas of his research are weather and climate.
Ethan is a Ph.D. student in Mechanical Engineering at the National University of Singapore, advised by Prof. Gianmarco Mengaldo. He also serves as a graduate tutor in the department. His current research interests include data-driven and machine learning methods for understanding the dynamics of high-dimensional dynamical systems, with applications in fluid mechanics and climate science.
Yuxuan Yang is a Ph.D student in the Department of Mechanical Engineering at National University of Singapore. Before that, he received his MSc in Aerospace Engineering from Delft University of Technology (Netherlands), where he specialized in aerodynamics.. His current research interests focus on applying machine learning methods to complex fluid systems, particularly in the context of turbulence, with particular attention to the capabilities of machine learning in predicting and controlling extreme events within these systems.
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Leonardo Pesce is a PhD student in the Department of Mechanical Engineering at the National University of Singapore, advised by Prof. Gianmarco Mengaldo. He received his BSc and MSc in Computer Science Engineering, with a major in Artificial Intelligence, from the Polytechnic of Milan (Italy) and an honors degree at Alta Scuola Politecnica (Italy), where he also served as student president. He previously visited the Chinese University of Hong Kong, Shenzhen (China), worked as a robotic research intern at Intel (Karlsruhe, Germany), and in his free time built single-seater electric racing cars (with autonomous driving capabilities) at Dynamis (Polytechnic of Milan, Italy).
His current research interest lies in Explainable Artificial Intelligence (XAI), focusing on extracting human aligned explanations and use them to improve machine learning model's performance, accuracy, and robustness. He applies his research discoveries to a wide variety of domains, including, but not limited to, theoretical ML, LLMs, Foundation models, Reinforcement Learning, Climate and Weather Forecasting, and Robotics.“Tags: Explainable AI, Machine Learning, Foundation Model.
‣ Deeksha Varshney, Research Fellow (2023-2025), current Research Scholar at IIT Patna
‣ Adamya Singh Dhaker, Master student (2024-2025), current PhD student at ETH
‣ Sharun Arumugam (2024-2025), current PhD student at The University of Manchester
‣ Arihant Krishna KUMAR, Intern, BITS Pilani (India), 2022/2023
‣ Akarsh SRIVASTVA, Intern, BITS Pilani (India), 2022/2023
‣ Say Yong LIM, Final Year Student, NUS (Singapore), 2022/2023
‣ Khairin AMIRULLAH, Final Year Student, NUS (Singapore), 2022/2023
‣ Keane ONG WEI YANG, -Final Year Student, NUS (Singapore), 2022/2023
‣ Zhen Yuan CHEN, Final Year Student, NUS (Singapore), 2021/2022
‣ Jia Wen PIOM, Final Year Student, NUS (Singapore), 2021/2022
‣ Adamya Singh DHAKER, Intern, NTU (Singapore), 2021/2022
‣ Jonhatan LIM MING EN, Final Year Student, NUS (Singapore), 2021/2022
‣ Joon Leon KUNG, Final Year Student, NUS (Singapore), 2021/2022
‣ Bob Pong LOONG, Final Year Student, NUS (Singapore), 2021/2022
‣ Hon Wek LIM, Final Year Student, NUS (Singapore), 2021/2022
‣ Kai QIANG, Final Year Student, NUS (Singapore), 2021/2022
‣ Luke CHANG, Final Year Student, NUS (Singapore), 2021/2022
‣ Jia Ming LIM, Final Year Student, NUS (Singapore), 2020/2021
