CV
Education
B.E. in Bioinformatics, SIMATS University, 2026
- Relevant Coursework: Applied Statistics & Probability, Python, R, Systems Biology, Cell & Molecular Biology, Recombinant DNA Technology
Research Experience
Remote Undergraduate Student Researcher [University of Colorado Colorado Springs, USA]
Dec ‘24 - Present
- Working in collaboration with the University of Colorado and Ioncure to develop and apply AI-driven methods for evaluating neurodegeneration awareness.
- Leveraging Natural Language Processing (NLP), Computer Vision, Machine Learning, and advanced data science techniques to analyze diverse data sources
Hybrid Research Assistant [Manipal University College, Malaysia]
Apr ’24 - Present
- Analyzed S. nigrum extract for antibacterial compounds using GC-MS, identifying 50 bioactive components under Sugapriya’s guidance
- Established a foundation for novel antimicrobial research using plant-based compounds.
- Conducted in silico docking studies on M. tuberculosis MurE ligase (2XJA) using AutoDock Vina to identify potential anti-TB agents in S. nigrum extract; discovered anthracene, 9-ethyl-9,10-dihydro as a promising anti-TB compound.
- Applied a systems biology approach to tuberculosis research, identifying key hub genes responsible for the disease. Utilized Cytoscape for network analysis and R programming (with caret, dplyr, ggplot2 packages) for data analysis, machine learning model building, and visualization to complement the wet lab research.
- Collaborated on comprehensive drug discovery and therapeutics reviews with Dr. Sugapriya, integrating her leukemia-focused wet lab research with my dry lab expertise, advancing interdisciplinary research on emerging medical challenges.
On-site Research Intern [KEK (High Energy Accelerator Research Organization), Japan] Jul ‘25 - Aug ‘25
- Worked at Structural Biology Research Center (SBRC), actively engaged in structural biology research focusing on X-ray crystallography refinement and Cryo-Electron Microscopy (Cryo-EM) analysis of protein structures, under Miki Senda and Toshio Moriya.
- Assisted in the creation of beginner-friendly English manuals and technical documentation to support future international interns and early-stage researchers at KEK, covering common workflows and troubleshooting in macromolecular crystallography.
On-site Research Intern [National Dong Hwa University, Taiwan] Jan ‘25 - Jun ‘25
- Worked at Biophysical Mass Spectrometry (BMS) lab, designed a high-performance ML pipeline (AUROC: 0.98, F1: 0.94) for TB/NTM diagnosis using MALDI-TOF mass spectrometry data and advanced peak feature engineering.
- Handled MALDI-TOF instrumentation and applied nanodiamond-based enrichment for sputum sample analysis. And, Performed statistical analysis and m/z feature selection, improving diagnostic interpretability and external validation accuracy (90%).
Remote Research Intern [Joint Institute for Nuclear Research, Russia] Mar ‘25 - Apr ‘25
- Performed atlas-guided virtual histological analysis of irradiated CNS tissue using ImageJ and the Allen Brain Atlas, classifying neurons, glia, and apoptotic cells.
- Automated quantification of TUNEL-positive apoptotic cells, revealing significant post-irradiation increase (p < 0.001) via robust image processing and statistical analysis. Supervisor: Inna Kolesnikova
On-site Undergraduate Research Student [Saveetha School of Engineering, India]
Jan ’23 - Mar ’24
- Under Kannan’s supervision, conducted data preprocessing and exploratory data analysis (EDA) on the ChEMBL dataset for Alzheimer’s drug discovery using pandas and matplotlib/seaborn
- Implemented and compared machine learning models (Random Forest, SVM, XGBoost) with scikit-learn, achieving 82% accuracy with Random Forest for predicting potential drug candidates.
- Performed molecular docking analysis using AutoDock Vina, applied Lipinski’s rule of 5 with RDKit, and executed molecular dynamics simulations using GROMACS to validate and analyze protein-ligand interactions of promising Alzheimer’s drug molecules.
Skills
Laboratory skills
Pipetting, Buffer, and Culture Media Preparation, Cell Culture, Plasmid and Genomic DNA Isolation, PCR, Gel Electrophoresis, Molecular Cloning, Thin Layer Chromatography, Assay of Biomolecules, Staining, Handling Equipment such as Nanodrop Spectrophotometer, X-Ray Crystallography, Cryogenic Electron Microscope, Colorimeter, Autoclave, and Centrifuge.
Computational skills
Python (RDKit, Scikit, Numpy, Pandas, Matplotlib, Seaborn), R, Cytoscape, CellDesigner, PyRx, Chimera, PyMol, LigPlot along with MS Excel and Powerpoint
Publications
Reddy, K. S., Muthukumaran, S., Saravanan, K. M., & Kannan, M. (2025). Identification of Leukemia Enzyme Inhibitors by Molecular Modeling and Machine Learning Approaches. Current Chemical Biology.
Reddy, K.S., Biswas, S., Sarangi, S., Chaurasia, A., Pradeep, M., Reddy, A.T.J. and Kashwani, R., 2024. Impact of smoking on dental implant: A review. Bioinformation, 20(12), pp.1750-1753.
Talks
May 06, 2025
Talk at Manipal University College Malaysia, Malacca City, Malaysia (Online)
May 02, 2025
Talk at National Cheng Kung University (NCKU), Tainan, Taiwan (On-site)
March 24, 2025
Talk at Academia Sinica, Taipei, Taiwan (On-site)
December 16, 2024
Talk at Genomac Hub, Ogbomosho, Nigeria (Online)
October 26, 2024
Talk at Sathyabama Institute of Science and Technology, Sathyabama Center for Advanced Studies, Chennai, Tamil Nadu (On-site)
April 03, 2024
Talk at Sri Padmavati Mahila Vishwa Vidyalayam, Department of Computer Science, Tirupati, Andhra Pradesh (On-site)
Volunteering Experience
Data Science Intern [Suvidha Foundation, Nagpur]
Nov’23 - Dec’23
- Implemented predictive modeling techniques to optimize resource allocation within the NGO, leading to a 25% reduction in project overhead costs and enhancing operational efficiency across all departments by streamlining resource distribution, and raised Rs. 2000 in additional funding for the organization.
Teaching Intern [Jeevan Jagriti Foundation, Delhi]
Sep’22 - Jan’23
- Conducted online classes for underprivileged students using Google Meet, ensuring 80% attendance. Improved student pass rate to 70% and significantly boosted one student’s final score from 70 to 90+.
- Led workshops for parents on student wellness and managed learning materials provided through donations, optimizing the educational experience for remote learners.
