Swathi Nadendla
Ames,Iowa
Summary
Motivated and detail-oriented PhD candidate in Bioinformatics with expertise in computational peptide design, target identification, and next-generation sequencing (NGS) analysis. Proficient in leveraging multi-omics data, sequence-based methods, and advanced computational tools to identify druggable targets and design therapeutic peptides. Experienced in integrating statistical models, machine learning, and molecular modeling to generate actionable insights for drug discovery. Skilled communicator and collaborator, with a proven ability to deliver impactful results in interdisciplinary research environments. Passionate about advancing precision medicine through innovative bioinformatics approaches.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Graduate Research Assistant
Iowa state university
08.2023 - Current
- Conducted next-generation sequencing (NGS) analysis on clinical samples to identify conserved regions for viral detection.
- Designed primers for Newcastle Disease Virus (NDV) genotypes
- Leveraged clustering techniques to study viral genome conservation across genotypes.
- Developed workflows for processing and analyzing bulk RNA-seq data to ensure accurate downstream analyses.
- Analyzed and visualized large-scale RNA-seq datasets from clinical samples to uncover biologically meaningful insights.
- Applied bioinformatics pipelines (e.g., STAR, DESeq2) and statistical methods for differential expression analysis.
- Presented findings to cross-disciplinary teams, integrating results into actionable research goals.
- Proficient in Python and R for data analysis, statistical modeling, and bioinformatics workflows.
- Experience with bash scripting and command-line interfaces for high-performance computing systems.
- Familiar with bioinformatics tools such as SAMtools, GATK, and FASTQC for quality control and variant calling.
- Familiar with single-cell RNA-seq analysis workflows, including cell clustering and marker identification
- Authored technical documentation for bioinformatics workflows, improving reproducibility and usability for team members.
- Delivered poster and oral presentations at academic conferences, earning recognition for research innovation
- Completed certifications in genomics, machine learning and deep learning fundamentals for biological data
Junior Data Analyst
Course5i
06.2022 - 07.2023
- Assisted in performing market analysis using advanced data mining techniques to identify trends and opportunities in the pharmaceutical industry
- Analyzed and visualized large-scale datasets from various sources (clinical trials, patent filings, market research) to gain insights into competitor strategies
- Contributed to the creation of competitive landscape reports, presenting findings to senior leadership
- Participated in brainstorming sessions to develop innovative approaches for gathering and analyzing competitor data.
- Implemented data quality checks and ensured data integrity across multiple sources to improve overall reliability of competitive intelligence
- Contributed to the creation of alerts systems for real-time monitoring of competitor activities.
- Gained exposure to cutting-edge tools and platforms used in pharmaceutical competitive intelligence.
- Developed skills in translating complex market insights into actionable conclusions for cross-functional teams.
Research Scholar
NIPER Mohali
03.2020 - 11.2022
- Integrated NGS data to discover peptide targets by analyzing differential gene expression and identifying key regulators in disease models.
- Utilized motif discovery algorithms to design peptides with enhanced binding affinity and stability
- Developed computational pipelines for the design and optimization of therapeutic peptides targeting key pathways for viruses.
- Utilized molecular docking and dynamics simulations to predict peptide interactions with target proteins, identifying high-affinity candidates.
- Designed de novo peptides using algorithms to explore sequence-structure-function relationships.
- Designed and evaluated therapeutic peptides using computational tools for docking, dynamics, and stability analysis.
- Collaborated with cross-functional teams to identify peptide-based inhibitors for targets in disease pathways.
- Assisted in the computational analysis of peptide-protein interactions to improve binding affinity and selectivity.
- Contributed to the development of a library for therapeutic peptide candidates
- Attended workshops on computational drug discovery and molecular modeling, enhancing skills in peptide design
Intern
Indu drugs
04.2019 - 06.2019
- Conducted in-process quality checks on raw materials and finished products, ensuring 100% compliance with cGMP regulations.
- Collaborated with quality assurance teams to investigate and resolve production deviations, improving overall process efficiency
- Contributed to the development and maintenance of documentation for production processes and quality control procedures.
- Participated in environmental monitoring activities to ensure compliance with regulatory standards.
- Participated in process improvement initiatives, contributing to increased batch yields and product quality.
- Assisted in conducting routine equipment maintenance and troubleshooting tasks.
- Developed skills in interpreting and recording production data using industry-specific software systems.
- Engaged in training sessions on new technologies and equipment relevant to pharmaceutical manufacturing processes.
- Gained valuable experience working within a specific industry, applying learned concepts directly into relevant work situations.
Education
Doctor of Philosophy - Bioinformatics and computational biology
Iowa State University of Science And Technology
Ames, IA08-2028
Master of science - Pharmacoinformatics
NIPER Mohali
Punjab, India06.2022
Bachelor of pharmacy -
Chalapathi Institute of Pharmaceutical Sciences
Guntur, India09.2020
Skills
- Python
- R
- Perl
- NGS Data analysis
- Statistical analysis
- Workflow Analysis
- High performance computing
- Competitive market analysis
- Data science research methods
- Phylogenetics
- Long read sequence analysis
Research Interests
Genomics, Epigenomics, NGS analysis, pipeline development, Precision medicine, Nanopore sequencing, sample to sequence analysis, Infectious disease monitoring
Publications
- Studies on Fabrication and characterization of pantoprazole Sodium Oral-Solv Tablets Asian Journal of Pharmacy and Pharmacology
- Formulation and evaluation of once daily sustained release tablet of Metformin Hydrochloride International Journal of Research in Pharmaceutical Sciences and Technology
- Identification of Potential ACE2-Derived Peptide Mimetics in SARS-CoV-2 Omicron Variant Therapeutics using Computational Approaches The Journal of Physical Chemistry Letters
Awards
Secured Academic excellence award Chalapathi Institute of Pharmaceutical sciences
Certification
- Fundamentals of Deep learning NVIDIA 2024 November
- Fundamentals of AI/ML in precision medicine Stanford medicine 2024 December
Timeline
Graduate Research Assistant
Iowa state university
08.2023 - Current
Junior Data Analyst
Course5i
06.2022 - 07.2023
Research Scholar
NIPER Mohali
03.2020 - 11.2022
Intern
Indu drugs
04.2019 - 06.2019
- Fundamentals of Deep learning NVIDIA 2024 November
- Fundamentals of AI/ML in precision medicine Stanford medicine 2024 December
Doctor of Philosophy - Bioinformatics and computational biology
Iowa State University of Science And Technology
Master of science - Pharmacoinformatics
NIPER Mohali
Bachelor of pharmacy -
Chalapathi Institute of Pharmaceutical Sciences
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