👋 Hi, I’m Muhammad Babar
👀 I’m interested in AI, Machine Learning, and their applications in healthcare.
🌱 I’m currently learning more about advanced AI techniques and health informatics.
💞️ I’m looking to collaborate on healthcare-related AI projects, especially in disease prediction and management systems.
📫 Lets Connect
- 📱 Phone: +92-344-8593301
- ✉️ Email: muhammad.babar@ucdenver.edu
- 🌐 Portfolio: https://mbabar1100.github.io/
- 🔗 LinkedIn: LinkedIn
😄 Pronouns: He/Him
⚡ Fun fact: I enjoy brewing specialty coffee, cooking, cycling, and developing AI tutorials for kids.
Seasoned AI/ML professional with 10+ years of experience developing data-driven healthcare solutions. Specializes in machine learning (TensorFlow, PyTorch) and health informatics. Led the deployment of AI-powered diagnostic tools and predictive analytics platforms. Passionate about leveraging cutting-edge AI to transform healthcare delivery.
- AI & Machine Learning: TensorFlow, PyTorch, Deep Learning, NLP
- Data Science: Big Data, Data Mining, Predictive Analytics
- Health Informatics: EHR Systems, Healthcare IT, Health Systems
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PhD Computer Science and Information Systems (Fall 2025 - In Progress), University of Colorado Denver U.S.
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MS Information Technology, National University of Sciences and Technology (NUST), Islamabad, Pakistan
Thesis: "A Machine Learning-Based Detection of Tuberculosis Co-Infection in HIV Patients"
Thesis Supervisor: Professor Dr. Rafia Mumtaz
Thesis Guidance and Examinations Committee: Prof. Dr. M. Daud Abdullah Asif, Prof. Dr. M. Bilal Ali -
BS Information Technology (Gold Medalist), Government College University, Faisalabad, Pakistan
Final Year Thesis: "Early Diabetes Prediction Using Ensemble Machine Learning"
Thesis Supervisor: Prof. Dr. Muhammad Umer Sarwar
- Cambridge Summer School “Artificial Intelligence in Medicine” | University of Cambridge, England | 09-13 September 2024
- Oxford Machine Learning Summer School “Machine Learning for Health & Bio” | University of Oxford, England | 06-14 July 2024
- Centre for Digital Health “Digital Health Summit 2024” | Stanford University, USA | 27-28 February 2024
- International Summer School in Information Technology | Brno University of Technology, Czech Republic | 10-25 July 2023
- Sensors & Artificial Intelligence Towards Sustainable Technology Design | Coventry University, England | 04-09 June 2023
- Health Information Systems Certificate | University of Oslo, Norway | 01-04 June 2018
- M. Babar (2025): “A Machine Learning-Based Detection of Tuberculosis Co-Infection in HIV Patients” - ScienceDirect ELSEVIER Journal
- M. Babar (2012): “Early Diabetes Prediction Using Ensemble Machine Learning” - Final Year Research Project
- Digital Health Conference 10-11 April 2025, University of Waterloo, Canada
- HIMSS Global Health Conference & Exhibition | March 3-6, 2025 | HIMSS Las Vegas, NV
- Johns Hopkins Aramco Healthcare Annual Research Symposium “AI in Healthcare” | 24 Sept 2024 | JH Aramco Healthcare
- DHIS2 Annual Symposium | 22-23 February 2024 | BAO Systems, Washington, D.C., U.S.
- Digital Health Conference | 28-29 February 2024 | Center for Digital Health, Stanford University, California, USA
- DHIS2 Annual Conference | 20-23 June 2022 | Health Information Systems Program (HISP), University of Oslo, Norway
- DHIS2 Tracker Level 2 | 20-28 October 2018 | Health Information Systems Program (HISP), Sri Lanka
- HIV/AIDS Prevention Management Information System - Common Management Unit, Govt. of Pakistan
- HIV/AIDS Health Information System - National AIDS Control Programme, Govt. of Pakistan
- DHIS2 Module for HIV, TB and Malaria Control Program - Govt. of Pakistan
- Resource Allocation Techniques in Cloud Computing - NUST, Pakistan
- A Machine Learning System for Retaining Patients in HIV Care - NUST, Pakistan
Ministry of Health, Government of Pakistan | July 2017 - Present
Leading health systems development and deployment. Supervising data-driven healthcare decisions through user-friendly dashboards and reports. Researching in biomedical informatics and developing cutting-edge technologies to address complex health data challenges.
Pakistan Science Foundation, Ministry of Science and Technology, Government of Pakistan | April 2017 - June 2017
Digitized program data and student information for streamlined management. Assisted in the design and maintenance of networks and databases. Managed databases and provided IT support to the team.
Cabinet Division, Government of Pakistan | February 2016 - March 2017
Administered the e-Office suite and streamlined document workflows. Provided support and training to staff for optimized productivity and maintained e-office configurations to align with organizational needs.
Alhamd Islamic University | June 2014 - January 2016
Taught Information Systems, Database Management Systems, and Network Fundamentals. Designed lessons and assignments, and evaluated student progress.
Techno Digg Pvt. Ltd., UAE | October 2012 - May 2014
Managed healthcare network infrastructure, ensuring reliable access to Electronic Health Records (EHR) and telemedicine systems. Ensured network security and HIPAA compliance.
- AI/ML & Data Science: TensorFlow, PyTorch, Scikit-learn, Spark, Pandas, NumPy, MLflow, Docker
- Cloud & Deployment: AWS SageMaker, Azure ML, Kubernetes, FastAPI
- Programming & Databases: Python, R, SQL, C++, MySQL, PostgreSQL, MongoDB
- Health IT & Visualization: DHIS2, Power BI, Tableau, EHR Systems (Epic), LaTeX
- Tools & Collaboration: Git, Jupyter, Overleaf
- Ethics and Governance of AI for Health - World Health Organization | 2024
- HIV Science and Community: Progress and Challenges - International AIDS Society | 2024
- Global Health, Climate Change, and Technology - TechChange Inc. | 2024
- Demystifying System Maintenance in DHIS2 - BAO Systems Inc. | 2024
- Power BI Data Analyst Associate - Microsoft | 2023
- IBM Data Science Professional - IBM Inc. | 2023
- Data Analyst - Data Camp, Inc. | 2022
- Google Data Analytics Professional - Coursera Inc. | 2022
- Health Information System (HIS) - World Health Organization | 2018
- DHIS2 Tracker Level 2 Course - HISP Sri Lanka | 2018
- Junior Network Certified Internet Associate - Juniper Networks | 2010
- Saudi Arabia - September 2024
- England (Oxford, Cambridge, London) - July - September 2024
- United States of America (Washington DC, New York, New Jersey, Virginia, California) - February 2024
- Czech Republic, Austria - July 2023
- United Arab Emirates (UAE), Dubai - July 2024
- Norway, Sweden, Denmark, Germany, Netherlands, Belgium, France - June 2022
- Sri Lanka - October 2018
- Enjoying off time with family, Specialty Coffee Brewing, Cooking, Cycling, Gaming, Hiking.
- Volunteer at community gym, helping peers to make workout plans.
- Developing AI tutorial for early year school kids.
- Experimenting with sensor-based plant/gardening monitoring systems.
- Repositories: 12
- Projects: 5
- Stars: 4
- Followers: 3
- Following: 14
© 2025 Muhammad Babar | AI for Healthcare