How I see mathematics in my life sciences journey.
Today, I would like to share my perspective on mathematics, based on my personal experience as a life sciences student in college. Many of us in the life sciences tend to dislike or even discourage mathematics, citing its complexity and other reasons. However, I would like to share how mathematics has been useful to me both in my college studies and in my daily life.
Mathematics has proven to be valuable in my life sciences journey, from understanding statistical analyses of research data to interpreting complex mathematical models used in biology. Furthermore, mathematics has helped me develop critical thinking and problem-solving skills that I can apply to various situations in my personal and professional life.
- Mathematics is a language of science
As someone in the field of science, it is essential to be proficient in mathematics to effectively communicate and solve problems. Mathematics provides a formalized language for problem-solving and a set of tools to provide solutions.
For example, in the process of mitosis, a cell divides into two similar daughter cells, which then further divide into four cells. This process can be mathematically expressed as a geometric progression (GP), with the number of divisions represented by the exponent. Specifically, the number of cells after n divisions can be represented as 2^n.
Similarly, in the DNA replication process, the same mathematical expression can be used to describe the number of replicated DNA strands after n replication cycles.
In summary, mathematics is essential in science as it provides a common language for problem-solving and a set of tools to formalize and solve problems. Understanding mathematical concepts can help scientists effectively communicate their ideas and findings, and ultimately lead to a better understanding of the natural world.
2. Mathematics drives programming
Mathematics plays a critical role in programming, which has become an essential tool in modern life sciences for tasks ranging from automation to simulation. Fields like computational biology and bioinformatics rely heavily on programming techniques to analyze and interpret large amounts of data.
Basic mathematics skills are necessary for logical reasoning, which is essential for successful programming. While programming is not exclusively focused on chemistry or physics, it requires a logical approach to problem-solving. Programming styles like object-oriented and functional programming rely on logic to create a set of programs that work together to accomplish a specific task effectively.
Moreover, programming often involves refactoring, which is similar to factorization in algebra. Refactoring is the process of improving code by restructuring it in a way that makes it more efficient, more readable, or easier to maintain. It involves identifying patterns and removing repetitive code, much like factoring out common terms in algebraic expressions.
In summary, mathematics is crucial in programming for logical reasoning, problem-solving, and creating efficient code. By leveraging mathematical concepts, programmers can write effective programs that analyze and interpret data and contribute to the advancement of life sciences research.
3. Biostatistics
Being good in mathematics would be very useful when dealing with data. Good understanding of Statistical models and sometimes doing your own, Proper selection of statistical techniques in research, experimental design, data analysis and effective control of the possible errors in experiments all rely on a good understanding of math. Furthermore, advanced techniques like Machine learning which now takes part in the life sciences ecosystem for different purposes require some math, especially statistics, probability, linear algebra, and calculus.
4. Mathematics is fun
Mathematics can be an enjoyable pursuit for those who love to learn and exercise their minds by solving problems and puzzles. Decomposing problems, recognizing patterns, and connecting different concepts during problem-solving can enhance curiosity and sharpen problem-solving skills, which can be applied in day-to-day life and boost creativity.
For instance, concepts such as gradients in coordinate geometry can be used to create the illusion of three-dimensional objects in simple illustrations, as in the case of Adobe Illustrator. Exploring mathematical concepts in this way can be a fun and rewarding exercise for those who enjoy using their creativity and problem-solving skills.
In general, mathematics can be a fun and enjoyable pursuit for those who love to learn and exercise their minds. By using mathematical concepts in creative ways, individuals can enhance their problem-solving skills, boost their creativity, and apply their skills in various aspects of their lives.
My favorite Branch of maths is Geometry due to fact that “I am a geometry”. If you are a math lover like me I recommend the YouTube channel, 3blue1Brown
All above are based on my own experiences and views and mentioned just few. To sum up, awareness of basic mathematics is needed by everyone for daily life, not being able to do very complicated calculus problems, not just because you are a science guy or have a science background. The demand for maths skilled people is relatively high across the different fields. Being in the life sciences field with a good understanding of maths will unlock a lot of opportunities in your career, wishing you all the best.
