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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


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


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

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