Manjunath Kustagi

Title: Artificial Intelligence Engineer
Company: Sharecare Inc.
Location: Garfield, New Jersey, United States

Manjunath Kustagi, Artificial Intelligence Engineer at Sharecare Inc., has been recognized by Marquis Who’s Who Top Scientists for dedication, achievements and leadership in Genomic Systems Biology. 

Mr. Kustagi has established himself as a distinguished professional in the field of genomic systems biology, with a career spanning 25 years. Currently serving as an artificial intelligence (AI) engineer at Sharecare Inc. since 2025, he has played a pivotal role in advancing the company’s technological capabilities. Before this role, Mr. Kustagi contributed his expertise as an independent consultant for Sharecare Inc. from 2024 to 2025, where he provided strategic insights and solutions that focused on mining EHR and EMR data using machine learning (ML). 

Based in Atlanta, Georgia, Sharecare Inc. is a digital health care company that relies on data-driven AI insights, evidence-based resources, and a comprehensive platform to provide software and tech-enabled services to stakeholders across the health care ecosystem. As such, Sharecare Inc. can help improve care quality while driving better outcomes and lower costs. 

Recruited to Sharecare Inc. from Cache DNA Inc., which is a biotechnology research company based in San Carlos, California, Mr. Kustagi briefly served as the head of multiomics in 2024, where he led initiatives related to RNA-sequencing data. His previous tenure as the senior director of bioinformatics at Envisagenics in New York City from 2021 to 2023 also helped solidify his reputation as a leader in the field. Most notably, Mr. Kustagi spearheaded projects during this time that enhanced the understanding of complex genetic data.

Among other noteworthy roles, Mr. Kustagi was affiliated with Sema4 in Stamford, Connecticut, as a bioinformatics scientist III. He also excelled as a computational biologist at Rockefeller University in New York City, gaining experience as a bioinformatics specialist II at the Howard Hughes Medical Institute in the same city, where he contributed to groundbreaking research in molecular biology. Mr. Kustagi’s career journey began in 2000, when LION Bioscience first acquired him as a senior programmer. These early experiences laid the foundation for his future achievements and honed his skills in programming and data analysis.

Mr. Kustagi’s academic background includes a Bachelor of Technology in biochemical engineering from the Indian Institute of Technology, Delhi, in 1996, and a Master of Science in computer science from the University of Massachusetts, Boston, in 2000. These educational accomplishments have been pivotal in shaping his career trajectory and success.

Mr. Kustagi’s dedication to continuous learning is evident through the numerous certifications he obtained in 2025, including advanced learning algorithms and ML specializations from DeepLearning.AI and Stanford University, as well as courses on cancer metastasis and bioinformatics methods from Johns Hopkins University and the Fred Hutchinson Cancer Center. These credentials underscore Mr. Kustagi’s commitment to staying at the forefront of technological advancements.

In addition to his professional endeavors, Mr. Kustagi has made significant contributions to scientific literature. He authored several influential publications, such as ‘Mechanism and Role of SOX2 Repression in Seminoma: Relevance to Human Germline Specification’ featured in Stem Cell Reports in 2016 and ‘Single Cell RNA Sequencing to Dissect the Molecular Heterogeneity in Lupus Nephritis’ published in JCI Insight in 2017. Mr. Kustagi’s work has been instrumental in advancing understanding within the scientific community.

Looking ahead, Mr. Kustagi envisions developing a system capable of delivering real-time diagnostics and identifying the root causes of cancer in patients and those suffering from genetic diseases. His determination and passion continue to drive him toward making significant contributions to health care technology.

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