Dr. Rohit Gupta

Adjunct Faculty

Education

Ph.D (University of Minnesota)
M.S (University of Minnesota)
B.Tech (IIT Roorkee)

Skill

Machine Learning
Data Mining
Computational Biology

Experience

Bengaluru, Karnataka, India

NeuranceAI is a deep-tech company focusing on building intelligent machines inspired by concepts from neuroscience that learn and solve critical healthcare problems globally

Founder and Director

[Associated with Department of Biotechnology, Initiative for Biological Systems Engineering (IBSE), and Interdisciplinary Laboratory for Data Sciences (ILDS)]

Research collaborations in the general area of computational biology and bioinformatics with a particular focus on cancer genomics and novel methods and algorithms for analyzing Next Generation Sequencing (NGS) data. [Associated with Department of Biotechnology, Initiative for Biological Systems Engineering (IBSE), and Interdisciplinary Laboratory for Data Sciences (ILDS)] Research collaborations in the general area of computational biology and bioinformatics with a particular focus on cancer genomics and novel methods and algorithms for analyzing Next Generation Sequencing (NGS) data.

6 yrs 2 mos

BuddhiMed is an innovative HealthTech start-up that converges AI and Modern Medicine by developing machine learning tools and solutions using very large health data sets. These tools are aimed at improving decision making in healthcare delivery systems and clinical medicine. We aim to improve the health and wellness of millions of people by helping their doctors, hospitals, insurers and themselves to make more informed and better decisions about their health and wellness

Bengaluru Area, India

3 yrs 9 mos
, India

– Data mining for discovering genetic markers of complex diseases using next-generation sequencing and microarray expression and methylation data.
– Hidden Markov Modeling based approach for copy number analysis in cancer using SNP array and illumina data.
– Pathway and network based approaches for integration and analysis of large number of “omic” data sets to guide clinical decision-making.
– Analysis of The Cancer Genome Atlas (TCGA) data with focus on DNA Methylation, Copy Number, RNASeq.

Characterization of missed neoplasia during Colonoscopy – Understanding physician-, patient-, and environment-related risk factors through statistical analysis of large medical data sets containing historical information about colonoscopy and cancer pathology.
– Identification and characteristics of patients with idiosyncratic drug-induced liver injury (IDILI) [Pfizer funded project].
– Application of KNN and SVM based classification techniques on structured and unstructured Mayo Clinic life sciences data for the early prediction of liver cirrhosis and hepatocellular cancer.
– Explored association rule mining and hyperclique pattern discovery techniques for discovery of patterns based on patients’ diagnosis history in a large clinical database from Mayo Clinic Life
Sciences System (MCLSS).
– Studied Computer Pathology (CoPath) system of Mayo Clinic and explored techniques to analyze pathology reports and their integration with MCLSS system. Various data mining techniques for prediction of liver cirrhosis and hepatocellular cancer at an early stage were also explored.

Developed and implemented novel data mining and machine learning models for analysis of large-scale data in e-commerce, advertising, and Internet applications.

Drew conclusions based on data in order to predict consumer behavior and develop marketing solutions.– Developed and implemented novel data mining and machine learning models for analysis of large-scale data in e-commerce, advertising, and Internet applications. – Drew conclusions based on data in order to predict consumer behavior and develop marketing solutions.

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Collaborated with a team of experts at SNRA (Swedish National Road Administration) and KTH and developed artificial intelligence based strategy selection, prioritization and decision making modules for Swedish infrastructure management system. Developed framework can be used to assist planners, road managers and decision makers to make efficient and more economically viable decisions at both strategic and project level.

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(RRCAT)

Studied design, construction and safety aspects of radiation shielding structures for electron accelerator buildings (Indus I & II) at CAT. Also performed experiments with a Cobalt-60 source (most common radioactive isotope of cobalt) to study shielding effects of soil.

Contact

Department of Information Technology,
Indian Institute of Information Technology,
Lucknow, India.
[email protected]