Professional Biography

Staff Scientist

Department of Medicine

Section of Computational Biomedicine and Biomedical Data Science 

University of Chicago

Welcome to my personal website. I am a research scientist with experience in computational modeling and knowledge inference from large and complex biomedical data-sets using modern machine learning and data mining techniques. My primary research spans on the opportunities at the intersection of data science, computation, and biology. Throughout my career, I have tried to define my research interests by the demands of health care and how they could be satisfied by the modern computing approaches.

I primarily do research in data-intensive biology by building innovative tools and approaches for addressing a wide variety of real-world problems. My 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 novel hidden 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, regulatory genomics, and clinical and health informatics.   

FIGS Package for Meta-Analysis of Cell- Specific Transcriptomic Data
Published in BMC Bioinformatics Download package from GitHub
June, 2017

Recent Work 

Air Pollution and Risk of Psychiatric Disorders in US and Denmark
Published in
PLOS Biology
August, 2019
DoD Occupational Exposure Biomarker & Health Effects Study 
Publsihed in Journal of Occupational and Environmental Medicine 
July, 2018
Can Cannabis Solve the U.S. Opioid Crisis?
Working Manuscript,
Coming Soon!
2020

Recent Collaborative Efforts

Seasonality of Psychiatric Disorders and Infectious Diseases 
Coming Soon!
Coming Soon!
2020
Daylight Saving Time (DST) Shifts and Human Health
Published in
PLOS Computational Biology
June, 2020
Humoral Alterations and Systematic Inflammation in Heroin Users
Published in
PLOS One
July, 2017
Cell-Type Specific Pathogen-Response Network Explorer
Link to PathCellNet Package
Journal of Immunological Methods
September, 2016

Featured Study: Environmental Pollution and Psychiatric Disorders

Thanks to the wonderful teamwork and great efforts from my colleagues (much obliged to my mentor Prof. Andrey Rzhetsky), we recently published a trailblazing study on the association between environmental pollution and psychiatric disorders in the United States and Denmark. We did advance computational investigation to study the complex interactions of environmental factors that are predictive of neuropsychiatric conditions.

This study is notable for its breadth, we analyzed over 150 million patients in the US and applied our model to Denmark to study the entire population of the country born between 1979 and 2002. The analyses showed that air and land pollution were significant predictors for the clinical frequency of several psychiatric disorders. An in-depth understanding of the environmental influence on mental health is needed to better characterize the health effects of exposure to pollutants. Evidence from most recent animal studies shows that air pollution causes neuroinflammation, which specifically supports our findings from massive clinical data mining. 

 

The study was published in PLOS Biology on August 20, 2019. 

 

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© 2020 by Atif Khan