Data Scientist with Expertise in Transforming Real-World Data into Actionable Insights
About Me
I am a passionate research scientist with 10+ years of experience in health data science, specializing in extracting valuable insights from complex healthcare datasets using modern machine learning techniques. Skilled in utilizing real-world data (RWD) to infer real-world evidence (RWE) and generate actionable insights. Committed to driving innovative research and making a meaningful impact in public health through data-driven solutions that enhance patient outcomes, support informed decision-making, and contribute to the advancement of personalized medicine.
My primary interest is rooted in the exploration and understanding of the rich contextual information inherent in various real-world datasets. I am particularly drawn to the challenge of deciphering complex patterns and relationships within these datasets, which often hold the key to transformative insights and breakthroughs.
To this end, I have dedicated my efforts to designing efficient inference and learning pipelines. These pipelines are tailored to handle the inherent uncertainties and interdependencies that are characteristic features of large-scale datasets. This approach allows for a more nuanced and comprehensive understanding of the data, leading to more accurate and insightful outcomes.
My experience in computational modeling spans a diverse range of domains. From tackling real-world engineering problems to delving into medical diagnostics, immunology, epidemiology, bioinformatics, and regulatory genomics, my work is defined by its breadth and depth. This diversity of experience allows me to bring a unique perspective and a multifaceted approach to problem-solving, enhancing the quality and impact of my research.
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
Professional Experience
Apr. 2017 - Jul. 2019
Clinical Data Scientist (Postdoc)
Department of Medicine, and
Institute for Genomics and Systems Biology
University of Chicago
Chicago, IL USA
Aug. 2014 - Mar. 2017
Computational Biologist (Postdoc)
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
Biomedical Data Scientist (Staff Scientist)
Department of Medicine,
Section of Computational Biomedicine and Biomedical Data Science
University of Chicago
Chicago, IL USA
Jan. 2011 - Mar. 2014
Research Assistant / Lab Demonstrator
School of Engineering,
University of Warwick
Coventry, United Kingdom
Causal Inference
Data Mining
Epidemiology
Knowledge Extraction
May 2021 - May 2023
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