Hi! I'm Parul Kudtarkar

I'm a Senior Bioinformatician at UC San Diego, involved in the multinational Accelerating Medicines Partnership® in Common Metabolic Diseases. My skills blend software engineering and bioinformatics, making me a generalist adept at developing bioinformatics tools and collaborating with diverse teams. My career includes experiences at Harvard, Caltech, and UCSD, focusing on impactful research. Outside work, I'm a runner, traveler, painter, and passionate about wildlife and forest conservation. I also love cooking healthy, enjoyable meals for loved ones.

Experience

Common Metabolic Diseases

Common Metabolic Diseases

(June 2017 - Present)
I have spearheaded the development of The Common Metabolic Diseases Genome Atlas, an extensive bioinformatic and software platform. This innovative tool seamlessly links together thousands of genomic datasets, aiming to uncover the fundamental origins of diseases and enhance the efficiency of drug target investigations within the field of metabolic conditions.

The Common Metabolic Diseases Genome Atlas

Deciphering Lung Diseases at Single Cell Resolution

Deciphering Lung Diseases at Single Cell Resolution

(March 2020 - Present)
My research is dedicated to exploring the molecular and genetic elements of lung diseases. Our team's significant achievement includes creating the Lung Genome Browser, which merges detailed single-cell data to investigate respiratory diseases and the effects of the SARS-CoV-2 virus. Our findings have shed light on the varied symptoms of these ailments. Currently, I am focusing on the genetic contributors to Bronchopulmonary dysplasia.

Lung Genome Browser

Echinobase

Echinobase

(January 2011 - June 2017)
I took the initiative to create Echinobase, a sophisticated software platform, and conducted comprehensive bioinformatics analyses. This endeavor aimed to investigate the influence of genetic knockout and environmental factors on gene regulation, shedding light on evolutionary patterns. The outcome of this project has yielded a vital tool for conducting research on gene regulation and evolution, effectively addressing a significant gap within various research communities.

Code

Cloud Computing for Comparative Genomic

Cloud Computing for Comparative Genomic

(January 2008 - December 2010)
I enhanced the reciprocal smallest-distance algorithm for better cloud platform integration, significantly cutting computational costs by 40% and pioneering the first cloud-based comparative genomic algorithm. This advanced tool is pivotal in decoding genomic connections and predicting the evolutionary trajectory of genes and organisms.

Code

Education

NEU

Master of Science, Bioinformatics, Northeastern University, USA

Courses: Biochemistry, Cellular & Molecular Biology, Bioinformatics Programming, Bioinformatics Seminar, Bio‐ethics, Database Management, Genome and Proteome Analysis, Imaging for Drug Discovery
Internship: Intelligent Medical Devices, Cambridge, MA
MU

Bachelor of Engineering, Biomedical Engineering, University of Mumbai, India

Courses: Statistics, Human Anatomy and Physiology, Medical Instrumentation, Embedded Systems, Digital Image Processing, Nuclear Medicine, Hospital Management
Work Experience: Jaslok Hospital and Research Center, Mumbai, India
Rady

MBA Certification, Rady School of Management, USA

Courses: Business operations and strategy, innovation and venture creation, and leadership decision-making skills

Reviewing Experience

Editorial board: Database: The Journal of Biological Databases and Curation

Journals: American Journal of Human Genetics, Bioinformatics, Evolutionary Bioinformatics, BMC Bioinformatics, PLOS Computational Biology, Faculty of 1000

Conference Jury: Intel International Science and Engineering Fair. Computational Biology and Bioinformatics