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.
Tree vs Graph
A tree is a non-linear data structure that represents the hierarchy. A tree is a collection of nodes that are linked together to form a hierarchy. A graph is like a tree data structure is a collection of objects or entities known as nodes that are connected to each other through a set of edges. A tree follows some rule that determines the relationship between the nodes, whereas graph does not follow any rule that defines the relationship among the nodes. A graph contains a set of edges and nodes, and edges can connect the nodes in any possible way.
Stack vs Array
Stack is a linear data structure that appears like a list. A stack appears like a sequential collection of constituting elements. Array is also a linear data structure that consists of a collection of various elements that have the same data type. An array’s size is pre-decided. It stores all the values at a location known as the index of values.
Encoder vs Decoder
An encoder is a mechanism that can transform the data signal into a message that can be read by some type of control device. The combinational circuits that convert the binary data into 2N output lines are called Decoders.
Stack vs Queue
The primary difference between Stack and Queue Data Structures is that Stack follows LIFO while Queue follows FIFO data structure type. LIFO refers to Last In First Out. It means that when we put data in a Stack, it processes the last entry first. Conversely, FIFO refers to First In First Out. I
Linear Queue vs Circular Queue
A linear queue is a linear data structure that serves the request first, which has been arrived first. It consists of data elements which are connected in a linear fashion. A circular queue is also a linear data structure like a normal queue that follows the FIFO principle but it does not end the queue, it connects the last position of the queue to the first position of the queue.
Posted September 10, 2022 by Rohith and Anusha ‐ 1 min read
⌖ quick-references blog linear-queue circular-queue differences
