About Me

I am a computational scientist possessing a combination of analytical,  machine learning, and  data mining  skills. My research spans on opportunities at the intersection of 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 the 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 last ten years, the primary focus of my research has been computational biology and bioinformatics.

 

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.  

Eduction

Research Interests

Applied Artificial Intelligence 

2010 - 2014

Ph.D. Engineering 

Major: Intelligent Data Analysis

School of Engineering

University of Warwick           Coventry, United Kingdom

Alogrithm Design

Computational Modelling 

2009 - 2010

MS Electrical Engineering

Major: Control System and Artifical Intelligence

Dalarna University    Borlange, Sweden

2003 - 2008

BS Electrical Engineering

Major: Telecommunications

National University of Computer and Emerging Sciences, Pakistan

Big Data Analysis

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

Knowledge Extraction

Bioinformatics

Aug. 2019 - Present

Staff Scientist

Department of Medicine, and

Institute for Genomics and Systems Biology 

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

© 2019 by Atif Khan. 

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