About Me
I am a computational scientist possessing a combination of analytical, machine learning, and data mining skills. My research spans the opportunities at the intersection of health data science, computation, and biology. In particular, I am interested doing research in data-intensive biology, where I can build tools and approaches that can directly address a variety of biological problems. I have a broad range of computational modeling experience in diverse domains ranging from engineering, automation, medical diagnostics, agriculture, immunology, bioinformatics, and regulatory genomics. Over the period of the last ten years, the primary focus of my research has been computational biology and health informatics.
My primary interest lies in understanding the rich contextual information associated with most data sets in a variety of real-world domains and using it to infer complex patterns. To this end, I have worked on designing efficient inference and learning pipelines for the models capable of handling uncertainties and interdependencies, a characteristic that is predominantly associated with large-scale data sets. I have computational modeling experience in diverse domains ranging from real-world engineering problems to medical diagnostics, immunology, epidemiology, bioinformatics, and regulatory genomics.
Tag cloud of my research interests
"Being a scientist means living on the borderline between your competence and your incompetence. If you always feel competent, you aren't doing your job."
Carlos Bustamante (UC-Berkeley)
“Data scientists are involved with gathering data, massaging it into a tractable form, making it tell its story, and presenting that story to others.”
Mike Loukides
"Numbers have an important story to tell. They rely on you to give them a voice.”
Stephen Few
“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.”
Geoffrey Moore
Higher Eduction
Research Interests
Applied Artificial Intelligence
2010 - 2014
Ph.D. Engineering
Major: Intelligent Data Analysis
School of Engineering
University of Warwick Coventry, United Kingdom
Big Data Analysis
Computational Modelling
2009 - 2010
MS Electrical Engineering
Major: Control System / Applied Artifical Intelligence
Dalarna University Borlange, Sweden
Clinical Data Science
Academic Training
Apr. 2017 - Jul. 2019
Postdoctoral Research Scholar
Department of Medicine, and
Institute for Genomics and Systems Biology
University of Chicago
Chicago, IL USA
Aug. 2014 - Mar. 2017
Postdoctoral Research Associate
Dep. of Microbiology and Immunology,
Dep. of Biostatistics and Computational Biology
University of Rochester Medical Center
Rochester, NY USA
Machine Learning
Biomedical Data Science
Bioinformatics
Aug. 2019 - Present
Staff Scientist
Department of Medicine,
Section of Computational Biomedicine and Biomedical Data Science
University of Chicago
Chicago, IL USA
Jan. 2011 - Mar. 2014
Lab Demonstrator / Research Assistant
School of Engineering,
University of Warwick
Coventry, United Kingdom
Causal Inference
Data Mining
Epidemiology
Knowledge Extraction
May 2021 - May 2023 (Expected)
Master of Public Health (MPH) Major: Epidemiology
Harvard T.H. Chan
School of Public Health
Harvard University
Boston, MA, USA
Public Health Informatics
2003 - 2008
BS Electrical Engineering
Major: Telecommunications
National University of Computer and Emerging Science, Pakistan