Ahmad Aljadaan, PhD
AI Scientist
Riyadh
Summary
Curious researcher, machine learning scientist, and data scientist. Exceptional passion for applied research in Artificial Intelligence and Data Science to deduce insights from data and use them to make a positive impact. Great experience with Research and Innovation, Artificial Intelligence, Data Science, Project Management, Strategy Development, and Business Analysis. Created prediction model for readmissions that helped improve patient health outcome and reduce cost on hospitals.
Overview
8
8
years of professional experience
15
15
years of post-secondary education
1
1
Language
Work History
Assistant Research Professor
King Abdulaziz City of Science and Technology
Riyadh
2019.06 - Current
- Leveraging AI technologies to address hard challenges in health, agriculture, and many different areas
- Build Strategic Innovation Program in applying Artificial Intelligence in bioinformatics and health informatics
- Trained employees and students into data scientists
- Taught: linear/logistic regression, PCA, SQL, K-means, KNN, Random Forest, Neural Networks, data visualization, and more.
Co-Founder
Pear Medical, Mixed Reality
Seattle
2016.01 - 2017.01
- Lead initiatives from idea to proof of concept (POC) to minimal viable product (MVP) to supporting productization effort
- Business Development including market research, seeking strategic partnerships, content licensing, and monetization
- Managed the product testing with potential customers and transferred the result to the development team.
Software Engineering Manager
Stanford University/NASA AMES
Palo Alto
2010.01 - 2013.01
- Developed the firmware that runs the Ultraviolet Light Emitting Diode (UV LED) AC Charge
- Management space experiment
- The experiment aims to develop a full non-contact charge control system
- Built a complete system that links the ground station to the space flight which facilitates ground experimentation for the scientists
- Managed the transition of the experiment from a science model located at Stanford University to the
- Engineering Model at NASA Ames
- This includes training NASA Ames developers about the experiment firmware developed by the Stanford team
- Managed the communication in cross-functional teams in three organizations; Stanford University,
- NASA Ames and King Abdulaziz City of Science and Technology.
Academic Researcher
Stanford University
Palo Alto
2009.01 - 2010.01
- Developed a means of visualizing large amounts of data from the Gravity Probe B satellite with MATLAB that helped researchers extract knowledge from hundreds of thousands of data points
- Developed an application that auto-submits analyses to a parallel computing cluster that drastically increases the number of analyses we can do
- Coordinated the communication between the physicists/mathematicians’ team and the software team to transform the math models into code.
Designer
University of Michigan – Medical School
Ann Arbor
2008.01
- Designed prototypes for an OpenCourse Software Tool called dScribe
- This is a system that helps manage the process of gathering, vetting, and publishing course materials
- Interviewed students and faculty members from various institutions to determine what our focus should be, then designed a system that matched the constraints those users imposed.
Intern, User Experience Designer
Virilion
Boston
2007.01
- Analyzed and Evaluated education, commercial and non-profit websites using different methods (ex
- Comparative analysis, heuristic evaluation and survey)
- Assessed content, information architecture and designed wireframes
- Communicated with clients during the design iteration process.
Executive Representative
Saudi Basic Industries Company, SABIC
Riyadh
2006.01
- Negotiated and implemented contracts with clients from countries in Europe and North America
- Managed the contract and the communication with the customers until the order is fulfilled.
IT Analyst
The Institute of Banking
Riyadh
2004.01
- Co-op training program,
- Developed a new inventory system that decentralizes the ordering process for the institute employees
- Designed the Institute website and created a database using MS Access and MySQL
- Created a course registration system so users can browse and register for courses through the web.
Education
Ph.D - Biomedical And Health Informatics, Data Science And Machine Learning
University of Washington School of Medicine
2013.09 - 2019.03
Graduate Certificate - Management Science and Engineering
Stanford University School of Engineering
Stanford, CA 2011.01 - 2013.03
Master of Science - Computer And Information Sciences
University of Michigan School of Information
Ann Arbor, Michigan 2006.08 - 2008.08
Certificate Program in Administration And Management Summer Intensive - Business Administration And Management
University of Washington School of Business
Seattle, Washington 2006.06 - 2006.08
Bachelor of Science - Management Information Systems
King Fahd University of Petroleum & Minerals
Dhahran. Saudi Arabia 1999.09 - 2005.05
Skills
Matlab, R Studio, MySQL, No SQL, Python
Accomplishments
National Health Lab for Emerging Technology, Ideathon 2019: Best Idea in the "Chronic Disease" Track
September 2019, Saudi Health Council
University of Washington Business Plan Competition: Perkins Coie Best Innovation/Technology Idea
May 2016, University of Washington
AMIA Student Design Competition (2nd Place)
November 2014, American Medical Informatics Association
Ph.D Research
- Improving the heart failure patient discharge decision-making process for the University of Washington Medical System.
- Queried with SQL and Cleaned via R 260,776 Electronic Health Record data points from the University of Washington Medical System.
- Built a tool that would help researchers automate the process of building an appropriate visit table and reduce the need for time-consuming chart review.
- Applied different Machine Learning Algorithms such as Logistic Regression, Random Forest, and LASSO to predict very early readmission (shorter than 30 days) based on patient characteristics at the time of discharge using R.
- Applied missing not at random imputation technique in R to deal with missing data.
- Identified 3 subgroups for readmission within 30 days where very early readmission occurs within the first 7 days
- 40% of the 30 days heart failure readmission occurs within the first 7 days; high cost and increase the risk of mortality.
- Currently embedding these prediction models into a good effective decision support tool in the UW Medical Center.
Timeline
Assistant Research Professor
King Abdulaziz City of Science and Technology
2019.06 - Current
Co-Founder
Pear Medical, Mixed Reality
2016.01 - 2017.01
Ph.D - Biomedical And Health Informatics, Data Science And Machine Learning
University of Washington School of Medicine
2013.09 - 2019.03
Graduate Certificate - Management Science and Engineering
Stanford University School of Engineering
2011.01 - 2013.03
Software Engineering Manager
Stanford University/NASA AMES
2010.01 - 2013.01
Academic Researcher
Stanford University
2009.01 - 2010.01
Designer
University of Michigan – Medical School
2008.01
Intern, User Experience Designer
Virilion
2007.01
Master of Science - Computer And Information Sciences
University of Michigan School of Information
2006.08 - 2008.08
Certificate Program in Administration And Management Summer Intensive - Business Administration And Management
University of Washington School of Business
2006.06 - 2006.08
Executive Representative
Saudi Basic Industries Company, SABIC
2006.01
IT Analyst
The Institute of Banking
2004.01
Bachelor of Science - Management Information Systems
King Fahd University of Petroleum & Minerals
1999.09 - 2005.05
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