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Country
India
State
Uttar Pradesh
City:
Noida
Address:
SBDA Research Lab Room # J3-419B J3-Block, Centre of Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University, Amity Rd, Sector 125
Email:
[email protected]
Phone:
+91-8800662904
Team
Systems Biology and Data Analytics Research Lab

Alone we can do so little;
Together we can do so much.

— Hellen Keller
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01

Group Leader and Investigator

Dr. Abhishek Sengupta

Group Leader and Investigator

I am a Bioinformatician and a Systems Biologist with a diverse background spanning Biotechnology, Healthcare Data and Pharmaceutical Market Data. The common thread that ties these areas together is my passion for Data, High-throughput Technology and Mathematical Modeling.

My primary areas of research (but not limited to) are:

  • Reproductive Health
  • Microbes, Microbiome and Human Health
  • Mental Health and Well Being
  • Vitiligo Pathogenesis and Therapeutics.
My research involves biological network construction and integration, logical modelling, kinetic and constraint-based modelling, multi-omics integration through Machine Learning and Graph Theory (Network) approaches, and data-driven hypothesis generation. We primarily focus on multi-omics data sets to better understand and treat human disease using computational methods.
My research team also works on computational methods to study metabolic, signalling and gene regulatory disease networks, understand disease progression, molecular mechanisms and determine new drug targets and propose drug repurposing strategies.
My lab’s research goal is broadly focused on developing and applying predictive computational models, biological networks and associated web tools/databases for predicting and analysing the behaviours of complex physiological systems ranging over multiple scales of organisation from the molecular level to the tissue/organ/organism/population level.
 

My Lab’s Research Activities focus on these:

  1. Clinical data analytics and predictive modelling
  2. Biological network inference, community and topology analysis and visualisation.
  3. Identification of vital biological functions and pathways.
  4. Identification of potential biomarkers and targetable genes/proteins/metabolites through modelling and biological network analysis.
  5. Application of key machine learning methods for multi-omics analysis.
  6. Condition-specific and personalized modelling through Genome-scale Metabolic models based on the/ integration of transcriptomic, proteomic and metabolomic data.
  7. Interactive and static web implementation
  8. Comprehensive clinical and biological database designing
  9. Network pharmacology-based drug repurposing
  10. Molecular modelling, docking and MD simulation studies
Please reach out to my lab for research collaboration and high-throughput project design and execution. At my lab, we believe in delivering meaningful models and data analysis.
 
Outside of my professional work, you can see me spending time with my family/friends, networking and reading books (mostly science fiction, and health tech). Apart from this, I am fond of art and painting.
02

Members

Ankit Saroha

PhD Research Scholar
(January 2019 onwards)
Research Interests:
Exploring the genetic and genomic resources associated with early flowering and maturity in plants through candidate gene association studies, phylogenetic analysis, allelic variation studies, gene expression studies and transcriptomics and how these factors cause alterations in the resulting protein structure and function.

Sudeepti Kulshrestha

PhD Research Scholar
(July 2020 onwards)
Research Interests:
Thorough analysis of 16s rRNA sequences from microbiome research to better understand the effects of diverse microbes, genes, and pathways on human diseases. Functional Divergence Research, Molecular Docking, MM-GBSA Analysis, Molecular Dynamics, Network Analysis, and Machine Learning.

Akshay Jain

PhD Research Scholar
(January 2021 onwards)
Research Interests:
Identification of potential biomarkers and targetable genes through modelling, biological network analysis, big data analysis, data integration, and application of key machine learning and artificial intelligence approaches for multi-omics analysis.

Payal Gupta

PhD Research Scholar
(January 2021 onwards)
Research Interests:
Understanding the cellular and molecular working of a biological system and using that knowledge to build predictive models and algorithms.

Alakto Choudhury

Project JRF (July 2023 onwards)
Research Interests:
Understanding and exploring the implications and potential of Artificial Intelligence in Biosciences and it's applications for the betterment of mankind.

Muskan Syed

PhD Research Scholar
(July 2023 onwards)
Research Interests:
I’m passionate about exploring the intersection of biomedical research, focusing on Antimicrobial Resistance (AMR). Using genetic engineering and machine learning, I aim to understand microbial behavior and develop novel therapies. I’m also intrigued by stem cell engineering for regenerative medicine and personalized treatments.

03

Former Members

Harshita Pandey

Project Associate I
(Jan 2021 - Oct 2022)
Presently at:
Senior Engineer at LG Soft India (Global Research Centre)

Dr. Priyanka Narad

Co-founder and former Co-PI
(Sept 2020 - Oct 2023)
 Presently at:
Scientist-C at Division of Biomedical Informatics (BMI), Indian Council of Medical Research (ICMR-HQS), Ansari Nagar, New Delhi, India.

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Let's discuss Our Research

We, at SBDA Research Lab, are dedicated towards understanding the intricacies of molecular processes, reactions, components, and systems using Genome Scale Metabolic Reconstructions, Machine Learning, Multi-Omics Data Analytics, and novel architectures and training methods for Deep Learning through Neural Networks, allowing us to understand disease development and progression in a unique and unprecedented way. Contact us for training opportunities and other services.

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