Anubha Dey | Computational Biology | Best Researcher Award

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Ms. Anubha Dey | Computational Biology | Best Researcher Award

 PHD, University of Hyderabad India

Anubha Dey is a dedicated Ph.D. researcher at the University of Hyderabad with a strong background in computational biology and machine learning. She has contributed significantly to understanding genetic interactions and cancer research through advanced modeling techniques. With a passion for teaching and mentoring, Anubha aspires to inspire future leaders in scientific innovation.

Professional Profile 

Scopus

Scholar

🎓Education

Ph.D. (Pursuing), University of Hyderabad, 2019-present. Master of Technology, Anna University, 2017-2019. Bachelor of Technology, Maulana Abul Kalam Azad University of Technology, West Bengal

💼Experience

Researcher: Developing machine learning models for cancer biology and genetic interactions. Assistant System Engineer-Trainee, Tata Consultancy Services, 2016-2017. Presented findings at renowned conferences like ICGA and CSHL

🏆Award and Honor

Best Oral Presentation, BioAnveshna 2024. Best Poster Presentation, International Cancer Symposium 2022. Selected for HySci 2024 Oral Talk, IIT Hyderabad. Qualified JEST 2019, a prestigious entrance test

🔬 Research Focus

Machine learning in genetic interaction prediction. Synthetic lethal interactions in cancer. Transcript complexity and RNA splicing. Chromatin loop dynamics and epigenetics

Publications Top Noted

  • Title: Chromatin loop dynamics during cellular differentiation are associated with changes to both anchor and internal regulatory features
    Year: 2023
    Authors: ML Bond, ES Davis, IY Quiroga, A Dey, M Kiran, MI Love, H Won
    Citation: Genome Research 33 (8), 1258-1268

 

  • Title: Inefficient splicing of long non-coding RNAs is associated with higher transcript complexity in human and mouse
    Year: 2023
    Authors: K Basu, A Dey, M Kiran
    Citation: RNA Biology 20 (1), 563-572

 

  • Title: MAGICAL: A multi-class classifier to predict synthetic lethal and viable interactions using protein-protein interaction network
    Year: 2024
    Authors: A Dey, S Mudunuri, M Kiran
    Citation: PLOS Computational Biology 20 (8), e1012336

 

  • Title: CaTCH: Calculating transcript complexity of human genes
    Year: 2024
    Authors: K Koushiki Basu, Anubha Dey
    Citation: Methodx

 

 

Mohammadsadeq Mottaqi | Computational biology | Young Scientist Award

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Mr. Mohammadsadeq Mottaqi | Computational biology | Young Scientist Award

MohammadSadeq Mottaqi is a dedicated Ph.D. candidate in Biochemistry at the City University of New York, with a strong foundation in Biotechnology from the University of Tehran. He possesses a robust skill set in Python, R, and various bioinformatics tools. His research focuses on machine learning-based drug action prediction, molecular dynamics simulations, and protein-ligand interactions. He has contributed significantly to research projects at Hunter College and Weill Cornell Medicine, and has industry experience as an R&D intern. MohammadSadeq is a published author, with works in journals like the Journal of Environmental Management and Informatics in Medicine Unlocked.

Profile

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Education🎓

City University of New York, the Graduate Center, New York, NY PhD in Biochemistry, Computer Science Department
Aug 2022 – Present. University of Tehran, Tehran, Iran B.Sc. in Biotechnology, GPA: 3.8 (top 15%) Sep 2017 – March 2022

 Technical Skills💻

Programming Languages: Python, R, Bioinformatics Tools and Libraries: PyMol, MOE, Gromacs, Spss, Unity, Scikit-learn, Data Analysis: Transcriptomics data analysis, Statistical analysis, Data Visualization, Operating Systems: Linux, Unix, Others: High-performance computing

 Relevant Experience 🌟

Machine learning-based prediction methods for drug actions
Prof. Lei Xie lab, Hunter College and Weill Cornell Medicine
June 2023 – Present
Thesis: Deep learning models for chemical-induced differential gene expression and cell viability predictions for de novo drugs and cell lines

  • Resolve challenges in predictive modeling using algorithmic approaches
  • Design pre-processing pipelines for Transcriptomics datasets
  • Integrate disparate Transcriptomics datasets (80 cell-lines) using Python
  • Incorporate multiple diverse labeled and unlabeled OMICS data
  • Contribute to writing manuscript

Molecular dynamics simulations of mutated HER2 protein
Research assistant – Dr. Mateusz Marianski lab, Hunter College
April 2023 – June 2023

  • Investigated coupling reactions and residue interactions in several mutated HER2 proteins
  • Performed molecular dynamics (MD) simulations employing Gromacs
  • Analyzed the data of the MD simulations
  • Presented the interpreted results

Protein-Ligand interactions in docking
Research assistant – Prof. Tom Kurtzman lab, Lehman College
Nov 2022 – Jan 2023

  • Identified the potential molecular interactions between protein pharmacophores and ligands
  • Wrote Python scripts in PyMOL for detection of potential H-bonds and Van der Waals forces

Aral Teb CO. Ltd., Tehran, Iran
R&D Intern
May 2020 – Oct 2020

  • Designed and executed experiments for a bacterial diagnostic kit
  • Converted 3D MRI data into a format compatible with 3D bioprinter
  • Served as a key researcher in the clean room

Virtual reality (VR) project, Iran’s National Elites Foundation
Nov 2020 – Aug 2021

  • Devised 7 biotechnological experiments in VR environments employing Unity software
  • Collaborated with 9 computer scientists and 4 biologists

Publications Top Notes 📝

  • Iman Kianian, Mohammad Sadeq Mottaqi, et al. Automated identification of toxigenic cyanobacterial genera for water quality control purposes, Journal of Environmental Management

 

  • Mohammad Sadeq Mottaqi, et al. Contribution of machine learning approaches in response to SARS-CoV-2 infection, Informatics in Medicine Unlocked, 2021

Annesha Chakraborty| Bioinformatics | Women Researcher Award

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 Dr. Annesha Chakraborty | Bioinformatics | Women Researcher Award

 Dr. SASTRA DEEMED UNIVERSITY

👩‍🔬 A highly motivated Ph.D. candidate at SASTRA Deemed University, specializing in Bioinformatics and Biomolecular Crystallography, with hands-on experience in molecular docking, dynamics, and laboratory techniques. Possessing an M.Sc. in Microbiology and B.Sc. (Hons.) in Microbiology, Chemistry, and Botany, I excel in research and academic achievements. As a Research Intern at MEAB LAB and Lab Tech. Intern at Suraksha Diagnostic Pvt. Ltd., I contributed to multiple publications and gained expertise in DNA/RNA extraction and PCR. Currently engaged in molecular dynamics studies on COVID Mpro, biomass production, and A.baumannii’s efflux pump research. Passionate about advancing scientific knowledge and addressing real-world challenges.🌟

 

Profile

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🎓 Education

Doctor of Philosophy (2023-Ongoing) SASTRA Deemed University, India Bioinformatics Center and Biomolecular Crystallography Lab, under the supervision of Dr. S. Thamotharan and co-supervision of Dr. Vigneshwer R. Currently pursuing research funded by DBT-govt. of India. M.Sc in Microbiology (2020-2022) Grade: A+ (80%) [Ranked 4th] B.Sc (Hons.) in Microbiology (2017-2020) Optional subjects: Chemistry and Botany Grade: B+ 12th (High School) (2015-2017) Science stream

🔬 Key Skills

  • Molecular Docking
  • Molecular Dynamics
  • Schrodinger
  • Pymol
  • MegaAUTODOCK
  • Agarose Gel Electrophoresis
  • ELISA
  • qPCR
  • RT-PCR
  • Flow Cytometry
  • Online tools for nucleic acid or protein sequence-based analysis (Expasy, Clustal Omega, NCBI)

💼 Work Experience

Research Intern at MEAB LAB (08/2021-09/2022) JIS University (Hybrid mode) Responsibilities: Worked on current research projects with PhD scholars as a Project Associate Intern. Co-authored 3 review articles and 1 book chapter, and contributed to 3 research projects. Previously worked here for Master’s thesis paper. Lab Tech Intern at Suraksha Diagnostic Pvt. Ltd. (12.08.2022-24.08.2022) Responsibilities: Conducted DNA and RNA extraction for PCR to detect HLA, hepatitis B, hepatitis C, and Covid-19 virus. Performed RT-PCR and real-time PCR to detect RNA and DNA viruses.

Publications Top Notes 📝

  1. Title: Lignocellulolytic Microbial Systems and its Importance in Dye Decolourization: A Review

 

  1. Title: Microbial electrolysis cells for effective biohydrogen biogenesis from biowastes

 

  1. Title: Algae educed industrial enzymes production: a sustainable way forward?
    • Book: Industrial Microbiology
    • ISBN: 978-93-5461-997-7
    • Publisher: Astral International Pvt. Ltd. (Scopus)