Team members

Mr. Pabbithi Bharathnaveen (DBT-SRF) 

Thesis work: The aim of my project is to discover parasite metabolic adaptations and host-parasite metabolic interactions in Cryptosporidium parvum infection using computational approaches.

Mr. Nishant Kumar (MoE - Interdisciplinary Ph.D)

Thesis work: The aim of my project is to build a Machine Learning model using multi omics data for diagnosis of Lower Respiratory Tract Infection (LRTI) 

Ms. Nimisha Tripathi (UGC-SRF) 

Thesis work: The aim of my project is to discover host-parasite metabolic interactions in Cryptococcus gattii infection using computational approaches.

Mr. Prashant Singh (Project Funded Fellow)

Thesis work: The aim of my project is to create an automated tool for Metabolic Reconstruction Networks and pathway visualization.

Mr. Manjunatha B K (ICMR- JRF) 

Thesis work: The aim of my project is to discover host-parasite metabolic interactions in Aspergillus fumigatus infection using computational approaches.

Ms. Harshita Bansal 

Thesis work: Parasite-dependent macrophage transition refers to the process by which parasites manipulate host macrophages, altering their activation state to promote parasite survival and persistence within the host.

Mr. Divyesh Pant 

Thesis work: Identification of features associated with multi-drug resistance in Psedomonas aeruginosa using data driven models.

Ms. Shachi Anil Kulkarni

Thesis work: 

Mr. Gokul Raj

Thesis work: Predictive modeling and pathway engineering for improved ethanol production in yeast