Summary
Overview
Work History
Education
Skills
Language Skills
Hobbies
References
Publications
Quote
Funding
Timeline
CustomerServiceRepresentative
Manali Singha

Manali Singha

Ph.D Student
Baton Rouge,LA

Summary

The amount of biological data is increasing rapidly. This opportunity is giving to analyze more relevant biological problems using data science. Experience in data mining and extracting essential features of the data to implement machine learning and deep learning models provide how to answer those biological problems.

Overview

6
6
years of professional experience

Work History

Reaserch Assistant

Dr. Michal Brylinski, CSBG-LSU
Baton Rouge, LA
06.2019 - Current
  • Project1: Predicting the growth rate of Cancer cells (GR50) in the presence of single drug by integrating the multi-omics data and implementing Graph Convolution Neural Network(GCN).
  • Project2: The drug-target identification by Multilayer perceptron (MLP) and Graph Autoencoder(GAE)
  • Project3: Predicting the effect of drug-combination on Cancer cell growths by implementing Graph Neural Network (GNN)

Teaching Assistant

Department Of Biological Sciences, LSU
Baton Rouge, LA
08.2017 - 05.2019
  • Supported student learning objectives through personalized and small group assistance to support classroom instruction.
  • The subjects are BIOL1208 and BIOL1209

Project Fellow

Department Of Neonatology, SSKM Hospital
Kolkata, West Bengal
04.2015 - 06.2017
  • Worked on the project to find chromosomal abnormalities related with mental retardation such as Down syndrome, Patau syndrome, Edward syndrome, ambiguous genitalia etc.

Education

Ph.D. - Computational System Biology

Louisiana State University And A&M College
Baton Rouge, LA

Master of Science - Huaman Genetics

West Bengal University of Health Sciences
Kolkata , India

Bachelor of Science - Genetics

West Bengal University of Teachnology
Kolkata , India

Skills

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Language Skills

English, Bengali, Hindi

Hobbies

  • Music
  • Reading books

References

Upon request

  • Dr. Michal Brylinski, Associate Professor, Department of Biological Science, Louisiana State University, Baton Rouge, LA, USA
  • Dr. Brant C. Faircloth, Department of Biological Science, Louisiana State University, Baton Rouge, LA, USA
  • Dr. Naohiro Kato, Associate Professor, Department of Biological Science, Louisiana State University, Baton Rouge, LA, USA
  • Dr. Limeng Pu, IT consultant, Department of Biological Science, Louisiana State University, Baton Rouge, LA, USA

Publications

1. Shi W, Lemoine JM, Shawky MA, Singha M, Pu L, Yang S, Ramanujam J, Brylinski M. (2020) BionoiNet: Ligand-binding site classification with off-the-shelf deep neural network. Bioinformatics 36 (10): 3077-3083.

2. Govindaraj RG, Naderi M, Singha M, Lemoine J, Brylinski M. (2018) Large-scale computational drug repositioning to find treatments for rare diseases. NPJ Syst Biol Appl 4: 13.

3. Singha M, Pu L, Busch K, Wu HC, Ramanujam J, Brylinski M. GraphGR: A graph neural network to predict the effect of pharmacotherapy on the cancer cell growth. Submitted (Bioarchive)

Quote

Wanderer, there is no path, the path is made by walking.
Antonio Machado

Funding

Research Assistantship is funded by National Institute of General Medical Sciences for the R35 Maximizing Investigators Research Award (MIRA)

Timeline

Reaserch Assistant

Dr. Michal Brylinski, CSBG-LSU
06.2019 - Current

Teaching Assistant

Department Of Biological Sciences, LSU
08.2017 - 05.2019

Project Fellow

Department Of Neonatology, SSKM Hospital
04.2015 - 06.2017

Bachelor of Science - Genetics

West Bengal University of Teachnology

Master of Science - Huaman Genetics

West Bengal University of Health Sciences

Ph.D. - Computational System Biology

Louisiana State University And A&M College
Manali SinghaPh.D Student