Hey there! I’m Asjad - I’m currently a data scientist at UNSW and I live in Sydney, NSW.
As a technologist, I find it incredibly exciting to witness the rapid advancements in AI research and technology. However, many open challenges remain in theoretical and applied machine learning. For example, Sample Efficient Learning requires developing models that can learn effectively from limited data, minimizing the need for extensive training examples while maintaining high performance. Another critical challenge is ensuring AI-driven decision-making is interpretable, fair, and causally grounded, which demands advancements in causal inference, counterfactual reasoning, and explainability, particularly in high-stakes domains like healthcare, finance, and criminal justice.
Elsewhere on the internet
Education
I first learned to program in high school using GW-BASIC, and ever since, I’ve been passionate about computer science and technology. That passion led me to earn a Ph.D. in Computer Science with a focus on applied machine learning. I also have an advanced Master’s degree from the University of Wollongong. My academic research focused on designing intelligent systems to support execution of knowledge-intensive processes and help make better decisions under uncertainty. My Ph.D. training taught me how to conduct original research, think independently, and contribute new ideas to the field. My publications in top-tier conferences demonstrate my ability to ask meaningful research questions, analyze academic literature, identify research gaps, design experiments, interpret results, and validate findings.
Research
See Google Scholar and blogs about my papers.
Industry
As a technologist I have a passion for turning cutting-edge technology into real-world impact. Over the past decade, I’ve built Data and AI driven solutions that tackle complex challenges in domains like Business Process Analytics, Semantic Search, and Natural Language Processing. I enjoy building production-ready data products that are impactful and those that can bridge the gap between advanced academic research and practical applications.
Site Organization
I usually reserve this blog for technical material. “Blog” posts contains thoughts at the intersection of data, software and business, while “Primers” are usually math-only tutorials.