Sudha Acharya

• Designed and implemented a first ever relational genomic database (SBRM-DB) using SQL Server 2016, optimizing data retrieval efficiency by 40%.

DOI: https://bioinformatics.towson.edu/SBRM
• Developed a full-stack web platform with ASP.NET (MVC), C#, and SQL Server, hosted on Windows Server 2012 with IIS for secure and high-performance data access.
• Built and optimized complex SQL queries, stored procedures, and indexing strategies, enabling faster query execution for large-scale biological datasets.
• Integrated gene annotations, ontology classifications, and expression data, allowing researchers to perform advanced genomic analysis.
• Performed statistical analysis using R, Python using packages such as DeSeq2, and dimensionality reduction techniques (PCA) to extract useful features and thereby using machine learning algorithms such as clustering (K-means, Hierarchical, GMM, DBSCAN) for downstream analysis.
• Relational database development with user friendly webpage for storing phytohormones dataset.

DOI: https://bioinformatics.towson.edu/Soybean-DB/

• Collaborated with researchers in regular meetings to share project updates and resolve challenges.
• Analyzed transcriptomic data to identify suppressed and induced genes.
• Used Linux, Unix, and Bash for data processing and automation.
• Performed data analysis in Python, R, PyTorch, and MATLAB using libraries like DESeq2 and ggplot2.
• Conducted literature reviews and maintained organized research documentation.
• Ensured smooth communication with team members and project leads.

• Courses: Plant Bioinformatics (BIO1134), Plant Physiology (BIO6000)
• Taught and supervised 100+ students across two lab sections weekly.
• Proctored exams, graded assignments, and provided timely feedback aligned with university standards.
  Held office hours for academic mentoring and career guidance.
• Enhanced lectures using visual aids and real-world applications to improve student understanding.
• Guided students through bioinformatics concepts, fostering a supportive learning environment.
• Conducted research on differential gene expression in soybeans, utilizing PCR, RNA/DNA isolation, genetic engineering, and bio-data analysis to extract meaningful insights.