Manu Setty, PhD
Dr. Manu Setty is a computational biologist who works as an assistant professor in the Basic Sciences Division and Herbold Computational Biology Program at Fred Hutch Cancer Center, and is a member of the Fred Hutch Translational Data Science Integrated Research Center. His path to this point was “convoluted” as he first began his career as a software engineer in India before heading to graduate school in the U.S. to train in what was a new field of study at the time – computational biology.
Fred Hutch Faculty Profile
Spotlight on Dr. Setty
Setty Lab
What is Basic Science Research?
Basic science research focuses on foundational questions that help us to better understand human biology and cancer. The Setty Lab investigates fundamental questions about cell differentiation, including how do stem cells become specialized cells (skin, blood, etc.) and why do they turn into one kind of cell but not another? Having an understanding of how cell differentiation should work gives a baseline for understanding what changes occur when cells are hijacked by cancer.
Dr. Setty explained that the kinds of questions that basic science researchers investigate can benefit from a team of people with expertise across different professional disciplines. He explained, “I greatly enjoy the multidisciplinary nature of our work. I interact with computer scientists, mathematicians, molecular biologists, [and] cancer immunologists on a regular basis.” As a computational biologist, Dr. Setty brings together expertise in multiple disciplines to study cell differentiation. With this lens, he and his team use machine learning and computer modeling software to query large datasets, identify complex patterns, and make predictions. In this way, technology is used as a tool for scientific discovery.
“The best part of my job is the complete scientific freedom. I feel very privileged to have the opportunity to pursue a career in research and try to answer fundamental biological questions that I care deeply about.”
— Dr. Setty
Dr. Setty's Story
Growing up in the small town of Tumkur in India, Dr. Setty had no exposure to careers in research and science. Tumkur has a population of about 350,000 and Dr. Setty describes it as a small and nondescript town (the city of Bangalore is 45 miles away and is about 36 times bigger than Tumkur). Dr. Setty’s parents worked in a bank and in the public sector. As a child, he wanted to be an astronaut, but he explained, “there was no path for me to get there!” In high school, Dr. Setty became fascinated with organic chemistry and genetics. However, at the time, studying biology in college was intended for people who wanted to become doctors, which didn’t match his interests. Instead, Dr. Setty chose to focus his undergraduate studies on computer science.
Educational Pathway
Dr. Setty’s educational path began with earning an undergraduate degree in Computer Science and then working as a software engineer in India for two years. However, he did not particularly enjoy this job because he felt that his learning plateaued quickly and his responsibilities became repetitive. Therefore, he decided to explore what at the time was an emerging interdisciplinary field through a Master’s degree in Computational Biology from Columbia University, where he had the opportunity to work with Dr. Christina Leslie at the Sloan Kettering Institute. He was immediately hooked as he found that the study of computational biology allowed him to bring together his interests in biology and computer science into a powerful combo for scientific research.
He decided to continue his education with a PhD in Systems Biology from Cornell University, returning to Dr. Leslie’s lab for his doctoral research. Systems biology is an approach to understanding living things by looking at the bigger picture and asking: how do different aspects of biology work together? Following his PhD, Dr. Setty worked as post-doctoral fellow at the Sloan Kettering Institute working in the lab of Dr. Dana Pe’er before joining Fred Hutch as a faculty member in January 2021. He says that his choice to quit working as a software engineer and explore a career that would be better for him by reviving his interest in biology “is the best thing I have done and I am very happy!”
The major milestones that Dr. Setty’s achieved while working toward a career in computational biology include:
- Undergraduate Degree: Computer Science & Engineering, National Institute of Technology Surathkal, India
- Master’s Degree: MSc in Computer Science, Columbia University, New York
- Doctoral Degree: PhD in Systems Biology, Cornell University, New York
- Post-doctoral Fellowship: Computational Biology Fellow, Sloan Kettering Institute, New York
A Day in the Life
A day in the work life of Dr. Setty includes many responsibilities and can vary greatly from day to day. Dr. Setty is responsible for defining scientific questions for his lab and for determining what methods should be used in the research. One important part to keeping his lab running is writing grants in order to fund his lab’s research. He also recruits, manages, and mentors lab members who have different levels of experience and include post-doctoral researchers, PhD students, and undergraduate students. Dr. Setty writes and publishes papers to share his research. In addition to the responsibilities of leading his lab, he teaches computational biology and data analysis courses, serves on mentoring committees for PhD students, and helps with the peer-review process by reviewing research papers from other scientists to make sure others are achieving the high standards needed to publish.
Despite loving the freedom and flexibility of his job, it comes with a major challenge: time management. With so many different responsibilities, it is often difficult to make sure everything gets done on time while at the same time prioritizing scientific innovation. He noted that “despite being quite stressful, my job gives me visceral satisfaction and happiness.” In addition to doing this challenging work, Dr. Setty and his lab group have a lot of social activities together. They go out for lab dinners, picnics, and are planning an escape room visit!
Setty Lab Research
Dr. Setty’s lab is working to discover new aspects of cell differentiation using the power of computation. As he explained it, all multicellular organisms develop from a single-cell through a series of cell divisions, in which one cell becomes two, two cells becomes four, and so on. This process continues throughout life to replenish cells as they die (your cells are constantly turning over, dying, and being replaced by new cells). The new cells start off as stem cells – a special type of cells which are capable of turning into different cell types. Dr. Setty’s lab group studies the process through which a stem cell creates different cell types, also known as cell differentiation. He uses cutting edge technologies that measure hundreds of quantities from thousands of cells and develops complex equations, or computational algorithms, to gain insights into stem cell differentiation. He uses machine learning to develop these algorithms, meaning that the algorithms can actually improve themselves as they process more data. Machine learning allows researchers to find patterns in very large and messy datasets that humans aren’t capable of analyzing without the help of computers. Recent research shows that many of the mechanisms that drive healthy differentiation are hijacked by cancer cells to grow abnormally. Dr. Setty’s lab therefore studies the mechanisms in stem cell differentiation and uses them as a healthy baseline to understand what goes wrong and how they are hijacked in cancer.
The best part of Dr. Setty’s job is having complete scientific freedom. He feels very privileged to have the opportunity to pursue a career in research and try to answer fundamental biological questions that he cares deeply about. He greatly enjoys the multi-disciplinary nature of his lab’s work: interacting with computer scientists, mathematicians, molecular biologists, and cancer immunologists.
Dr. Setty has been a professor at Fred Hutch since January 2021. He's enjoying getting to know the trails in the mountains surrounding Seattle, including beautiful Mount Rainier. Moving forward, he hopes to build a thriving, innovative, and confident research group that pushes the boundaries of our understanding in stem cell and cancer biology.
Advice for Students
What is Dr. Setty’s best advice for students? He explained that “multi-disciplinary research is quickly becoming a hallmark in cancer research and biology research in general.” He advised that in college “it is a great choice to prepare yourself by taking up courses not only in computational sciences but also molecular/cellular biology.” He noted, “there are now undergraduate programs in Biomathematics and related fields which prepare students extremely well to speak the language of computational biology.” These programs at the undergraduate (majors and minors for Bachelor's degrees) and graduate level (Master’s and Doctorate degrees) go by different names. Look for programs focused on computational biology and closely linked areas of study, including computational molecular biology, computational systems biology, genomics and genomics, computational life sciences, bioinformatics, quantitative biology, biomathematics, medical informatics, or computational medicine.
Video: When Biology Meets Computer Science
Learn more about the field of computational biology by watching the video below from Quanta Magazine.
“As researchers, we have the opportunity to discover new things and reshape our current understanding of [cell] differentiation and its impact on cancer. There is no better feeling than seeing a prediction we make through computational modeling validated experimentally.”
— Dr. Setty
U.S. Wage Information
According to the 2023 U.S. Bureau of Labor Statistics’ Occupational Employment and Wage Statistics:
- The median wage for biological scientists in the U.S. is $91,100
- The median wage for statisticians in the U.S. is $104,110
Additional Information
Credit: Thank you to Dr. Setty for participating in this project. Profile written by Dr. Kay Lalish and Dr. Kristen Bergsman as part of the new Elephants & Cancer curriculum unit.