Dr. Anusha
Creator of whiletrue.live.
Treated more than 2000 patients as dentist.
Interested in dentistry, software development and computational biology.
About Me
As a dentist with 4 years of clinical experience, I have developed a keen interest in the intersection of healthcare and technology, particularly in the field of software development. With my passion for both dentistry and software, I am excited to explore new ways of improving patient care through innovative technological solutions. I am currently pursuing master’s in Bioinformatics, where I am gaining expertise in the intersection of biology and software. In addition to my work as a dentist, I have written several blogs on various dental problems and software. I am excited to continue exploring the field of Bioinformatics and applying my knowledge to advance healthcare through technology.
Software Development
As a dentist-turned-software developer, I bring a unique perspective to the field of healthcare technology. With experience in both clinical dentistry and software development, I am uniquely positioned to bridge the gap between these two fields. With a strong background in both clinical dentistry and programming, I am passionate about creating innovative software solutions that improve patient care and enhance the practice of dentistry. My expertise in languages such as Python, Java, and R, coupled with my studies in bioinformatics, has equipped me with the skills necessary to build robust and effective software systems. I am excited to continue exploring the limitless potential of technology in the healthcare industry.
Computational Biology (Bioinformatics)
In today’s era of big data and advanced technologies, computational methods have become increasingly essential to the field of biology. As a dentist with a passion for software development, I recognized the importance of these methods early on in my career. Pursuing an MS in Bioinformatics has allowed me to develop a deeper understanding of the power of computation in biological research. With a strong background in programming languages such as Python, Java, and R, I have developed a skill set that allows me to tackle complex biological problems with confidence. I am particularly interested in leveraging my expertise to contribute to the development of new therapies and technologies that improve patient outcomes. Whether it’s developing computational models to predict drug efficacy or analyzing genomic data to uncover new biomarkers, I am excited to continue exploring the possibilities of computational biology and make a meaningful impact in the field.
Dentistry
Started my career as a dental professional with vast knowledge of dental care and dental services. Motivated and bilingual licensed dentist with more than 4 years of experience in providing good and effective dental care to patients. I have treated more than 2000 patients while working as dentist.
Expertise in all areas of general dentistry combined with experience in effective business and staff management. Passionate in being updated with new advancements in dentistry and skilled in digital intraoral scanning and CEREC technology.
Exposed to various types of cases and good understanding on restorative dentistry, periodontics, oral surgery, prosthodontics and pediatrics.
R Stats Library
In the ever-evolving realm of data science, statistical analysis is the bedrock upon which insightful decisions are made. R, a programming language and environment for statistical computing and graphics, stands tall as a robust tool for statisticians and data scientists alike. Central to R's prowess is its array of libraries, each catering to specific needs. In this blog, we'll embark on a journey through the fascinating world of statistics using R's stats library, exploring its functionalities and demonstrating its power through practical examples.
Monte Carlo Simulation
In the realm of decision-making, especially in complex, uncertain scenarios, having a crystal ball would be invaluable. While we don’t possess magical powers, we do have something close: Monte Carlo simulation. Named after the famed casino city, this computational technique allows us to navigate the murky waters of uncertainty, offering insights that can shape robust strategies, optimize processes, and mitigate risks. In this blog, we’ll unravel the mysteries of Monte Carlo simulation, exploring its origins, principles, applications, and how it empowers decision-makers across diverse fields.
SeqIo
In the world of bioinformatics and computational biology, handling biological sequence data is a fundamental task. Whether you are working with DNA, RNA, or protein sequences, a reliable and efficient tool is required to manipulate and analyze these sequences. Python, being a versatile programming language, offers various libraries to deal with biological data, and one of the most powerful among them is SeqIO.
Biopython Sequences
In the ever-evolving field of bioinformatics, researchers and scientists are constantly seeking ways to analyze and manipulate biological data efficiently. Biopython, a powerful open-source library, has emerged as an invaluable tool for bioinformaticians. Among its many features, Biopython provides extensive functionality for working with biological sequences, making it an indispensable resource for tasks ranging from sequence retrieval to advanced analyses. In this blog post, we will delve into the world of Biopython sequences and explore some of the essential tools and techniques it offers.
Needleman Wunsch Algorithm
In the realm of bioinformatics and computational biology, one fundamental task is to compare and align biological sequences, such as DNA, RNA, or proteins, to identify similarities and differences. Pairwise sequence alignment is a crucial technique for achieving this, and the Needleman-Wunsch algorithm is one of the pioneering methods that laid the foundation for sequence alignment.
Posted September 26, 2023 by Rohith and Anusha ‐ 4 min read
⌖ quick-references blog needleman-wunsch-algorithm statistics