I am a Data Science Fellow and Turing ASG at The Joint Centre for Excellence in Environmental Intelligence (JCEEI) at University of Exeter and The Alan Turing Institute in London. I am currently working on the integration of crop and disease models with remote sensing, climate re-analysis data and climate projections. At JCEEI, I am developing innovative approaches to understanding abiotic and biotic pressures on crop production under climate change.
Download my resumé.
PhD in Plant Pathology and Microbiology
Iowa State University
Graduate Certificate in Geographic Information Systems (GIS)
Iowa State University
Leadership and Cultural Development
Syracuse University
MSc (Hons.) in Plant Pathology, 2014
University of Agriculture Faisalabad
BSc (Hons.) in Agriculture, 2012
University of Agriculture Faisalabad
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
Courses and Trainings
- Exploring spatial questions and problems
- Understanding and Comparing Places
- Determining How Places are Related
- Finding the Best Locations and Paths
- Detecting and Quantifying Patterns
- Making Predictions
- Business, Geography, and the Location Advantage
- Understanding Market Opportunity
- Site Selection: Choosing the Right Location
- Marketing: Understanding Your Customers
- Location and Supply Chain Management
- Understanding Risk using Location Based Information
- Multiscale Topographic Maps
- Maths for Map Makers
- The Language of Graphics
- Labels and Composition
- Going 3D
- Mapping Movement and Change/Animation Maps
- Deep knowledge of Spatial Data Science
- The Spatial Approach to Predictive Analysis and
- Finding Optimal Locations Using Suitability Models
- Pattern Detection and Clustering
- Object Detection with Deep Learning
- Communicating Results with Impact - Story Maps
- Instructions on safety practices during flight - such as flying a drone in inclement weather - and basic proficiency and knowledge of UAS flight operations
- Training on the written Federal Aviation Administration (FAA) exam towards remote pilot certification
- Combined location and narrative in one application to better communicate and broadcast stories
- Created custom web applications to solve problems in the community
- Built powerful native applications
- Covered talks, posters and field visits demonstrating the applications of artificial intelligence and machine learning in agriculture
- Panel discussion on charting the roadmap for Future MLCAS Research
- Discussed current and future uses of drones for agriculture
- Demonstration of large-area and real-time mapping, subsampling and aerial application using popular models of drones
- Hands-on training covering making high-quality graphics in R
- Explained structuring complex graphics
- Covered a formal introduction to traditional SAS programming
- Explained procedures that involve some applications and statistical graphics
- Introduced SAS Enterprise guide