Mahnaz Mohammadi
Summary
Highly accomplished data scientist and software developer with a passion for leveraging cutting-edge technologies to drive innovation. Seeking a challenging position to utilize my expertise in computer vision, machine learning, and deep learning to develop scalable solutions addressing real-world problems. With a proven track record in delivering impactful projects and leading teams, I aim to contribute to the success and growth of an innovative company in AI, digital health, or software development.
Overview
7
7
years of professional experience
5
5
Certifications
Work History
Lead Software Developer
Computer Forensics Lab
11.2023 - Current
- Lead a team of developers in creating forensic tools
- Implemented machine learning models to enhance data analysis.
Data Scientist
School of Medicine, University of St Andrews
11.2022 - 09.2023
- Developed predictive models for medical research
- Collaborated with medical professionals to integrate AI solutions.
Data Scientist
School of Computer Science, University of St Andrews
05.2019 - 10.2022
- Spearheaded projects involving image recognition and data analysis
- Published multiple research papers in reputed journals.
Research Associate
Boguslaw’s Lab, Durham University
12.2017 - 03.2019
- Conducted research on AI applications in pathology
- Developed algorithms for image classification.
Research Associate
CADLab, Indian Institute of Science
03.2017 - 11.2017
- Worked on hardware architecture for neural network classifiers
- Published research findings in IEEE journals.
Skills
- Python
- C/C
- Matlab
- NHS and Industry Collaborations
- Teamwork
- GitHub
- Bitbucket
- AWS
- Microsoft Azure
- Docker
- Weights & Biases
- LaTeX
- Linux
- Jupyter Notebook
Certification
Microsoft DP-100: Build and Operate Machine Learning Solutions with Azure (04/2024)
Google Scholar
https://scholar.google.com/citations?user=SoAMuHcAAAAJ&hl=en
Contracts And Experiences
- Guest Lecturer, University of St Andrews, Digital Health, 01/2022, 05/2022
- Guest Lecturer, University of St Andrews, Digital Health, 01/2021, 05/2021
- Reviewer, Frontiers in AI, Fibrosis-Net, 10/2021
- Co-supervisor, University of St Andrews, Digital Pathology, 05/2021, 08/2021
- Teacher, Educational Department of Fars, Iran, Computer, 09/2001, 06/2007
Publications
“Automated Reporting of Cervical Biopsies using Artificial Intelligence”, PLOS Digital Health Journal, 04/2024, “AI Applications for Next-Generation Gynaecological Pathology”, Diagnostics Histopathology Journal, 07/2023, “Detection of Malignancy in Endometrial Cancer Biopsies using AI”, PLoS ONE, 03/2023, “On the Use of Neural Text Generation for OCR”, ACS/IEEE International Conference, Abu Dhabi, 2019, “TMIXT: Process Flow for Transcribing MIXed Text”, IEEE Big Data, Seattle, 2018
References
Available upon request
Timeline
Lead Software Developer
Computer Forensics Lab
11.2023 - Current
Data Scientist
School of Medicine, University of St Andrews
11.2022 - 09.2023
Data Scientist
School of Computer Science, University of St Andrews
05.2019 - 10.2022
Research Associate
Boguslaw’s Lab, Durham University
12.2017 - 03.2019
Research Associate
CADLab, Indian Institute of Science
03.2017 - 11.2017
Microsoft DP-100: Build and Operate Machine Learning Solutions with Azure (04/2024)
Microsoft Azure Machine Learning for Data Scientists (04/2024)
Microsoft AZ-900: Microsoft Azure Fundamentals (03/2024)
Advanced Computer Vision with TensorFlow: Coursera (01/2023)
DeepLearning.AI TensorFlow Developer Specialization: Coursera (10/2021)
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