Raibatak has a PhD in Chemistry from Cornell University. Before joining Applied BioMath he was in academia. Raibatak's prior research areas include single molecule biophysics, immunology and imaging. His areas of expertise are mathematical biology and applied statistics.
What is your role at Applied BioMath?
"I am a scientist and do primarily modeling work. I translate biology into mathematical models, run simulations, and use the results to understand experimental observations."
What do you love most about your job?
"I honestly love the work because I get to use many different skills. I have some background in chemistry, biology, mathematics, and statistics. I get to use all of these pieces in which I have training—that's very satisfying."
What inspires you everyday?
"Curiosity I think is at the top of the list–like what's the answer going to be, or more often, why is this model not doing what I expect it to?!? I get excited about figuring things out. It's like playing detective!"
What is the most rewarding part of your job?
"I would say the most rewarding part is when you present modeling work to a group of people who are primarily biologists, or do not necessarily have a lot of background in mathematics or modeling, yet they recognize that the math is helping them answer their questions. It's very gratifying when you receive a positive response from your audience, especially if they appreciate the value that all of this technical work is bringing into their overall drug development ideas."
What made you get into the field of life sciences?
"I was fascinated with science from a very young age. I was curious—I've always been very curious. There wasn't any single moment, but generally speaking, I was interested in science, and I was encouraged to pursue it from a very young age and so it was just a natural progression."
What do you like to do in your spare time?
"I have a three year old, so I don't have any spare time—that is the correct answer. But I love being outdoors, so I like camping, hiking, skiing, all of that. I love photography, I dabble in art, I read a lot, and I love music!"
Applied BioMath is an exciting place to work because here I get a chance to apply my skills to sophisticated problems in translational research.
- A systems pharmacology model for gene therapy in sickle cell disease
- Systematic in silico analysis of clinically tested drugs for reducing amyloid-beta plaque accumulation in Alzheimer's disease
- QSP Model of Colonic Motility