Senior Postdoc/Data Scientist
Penn State, College of Medicine
06-2023 - Present | Hershey, PA, US
- Federated learning research
- AI sustainability initiatives
- Language model development
About Me
Accomplished data scientist with a Ph.D. in Physics, specializing in cutting-edge machine learning techniques for health-tech and other industries. Expert in federated learning, sustainable AI models, and deep learning applications in healthcare. Passionate about leveraging AI to solve real-world problems and advancing AI sustainability and trustworthiness.
Expertise
Federated Learning
Data Imputation
AI Sustainability
Language Models
Deep Learning
Digital Pathology
Radio Astronomy
Anomaly Detection
Medical Imaging
Cosmological Parameter Estimation
Key Projects
- Federated Learning Framework: Developed a system for distributed machine learning across healthcare institutions, preserving data privacy.
- AI Sustainability Toolkit: Created tools for measuring and optimizing AI models' environmental impact, focusing on energy efficiency.
- Medical Image Analysis: Implemented deep learning models for digital pathology, including tissue classification and anomaly detection.
- Radio Astronomy Data Processing: Contributed to the HIRAX project with algorithms for cosmological parameter estimation and interference mitigation.
- SKA Source Detection: Developed machine learning techniques for identifying astronomical sources in radio telescope data.
- EHR Data Imputation: Designed algorithms for imputing missing data in electronic health records.
- ECG Analysis: Contributed to an AI-assisted decision support system for ECG interpretation.
Professional Experience
Postdoc/Data Scientist
Uniklinik RWTH Aachen
12-2021 - 06-2023 | Aachen, Germany
- Deep learning in digital pathology
- Sustainable machine learning research
Postdoc
Université de Genève
09-2020 - 01-2022 | Geneva, Switzerland
- Data science in radio astronomy
- Health records imputation
Postdoc
Institute for Research in Fundamental Sciences
09-2018 - 09-2020 | Tehran, Iran
- Co-supervised 9 master and PhD students in cosmology and medical physics
- Collaborated with SKA data science team
- Coordinated and taught in IPM data science workshop series
Education
Ph.D. in Physics - Shahid Beheshti University, Tehran, Iran (2013-2018)
M.Sc. in Physics - Shahid Beheshti University, Tehran, Iran (2011-2013)
B.Sc. in Physics - University of Science and Technology of Iran, Tehran, Iran (2006-2011)
Teaching Experience
I have been actively involved in educating and mentoring students in data science, AI, and their applications. Some of my courses includes:
- Python Workshops for TIC (Tehran Institute of Technology): Focused on practical Python programming for data analysis and scientific computing.
- Data Science Workshop at Alzahra University (2019): Introduced key concepts and techniques in data science.
- Data Science Workshop Series (DSWSs): A comprehensive series covering various aspects of data science.
- LLM in Healthcare Course: Explored applications of Large Language Models in healthcare as part of The Decode Lab.
Awards and Appointments
Awards and Grants
- RWTH Uniklinik grant on Environmental consequences of AI implementation in pathology
- European Union's Horizon 2020 research and innovation program funding
- Excellence d'burcire, Université de Genève, 2016-2017
- PhD scholarship, Ministry of Science, Research and Technology, 2013-2018
Appointments
- Université de Genève, 2020, Genève, Switzerland
- ICTP & SISSA, 2020, Trieste, Italy
- Max Planck Institute, 2019-2020, Munich, Germany
- South African Radio Astronomy Observatory (SARAO), 2018, Cape Town, South Africa
- African Institute for Mathematical Sciences (AIMS), 2017, Cape Town, South Africa
- Université de Genève, 2016-2017, Geneva, Switzerland
- Université catholique de Louvain, 2015, Louvain, Belgium
- Department of High Energy Physics, ICTP, 2015, Trieste, Italy
Contact
📧 vafaei.sadr@gmail.com
📍 Hershey, USA
Entertainment
The follwoing links are some tiny ptojects for fun