QMW instructor 2017 ● University of Central Florida ’18
The Quantitative Methods Workshop was an incredible experience. I was able to design and teach a workshop on Python, and test strategies for communicating these ideas in a way that resonates with students from many different fields: computer science, chemistry, biology, etc. One student even emailed me after and said the workshop inspired them to enroll in an introductory programming course. These things make the experience so rewarding, and I look forward to teaching again at the 2018 workshop.
Mentewab Ayalew, PhD
Associate Professor & Vice Chair, Biology ● Spelman College
I encourage my students to attend the workshops, and have even attended myself. Students learn to solve biological problems using quantitative and computational approaches, and many can’t wait to take additional computer science courses after they return. They are exposed to new concepts, ideas, and ongoing research at MIT that challenge them to integrate quantitative thinking into their work. They also receive formal and informal advice about applying to graduate school.
Lorraine De Jesús-Kim
QMW attendee 2014, 2015 ● PhD candidate, MIT Biology
The workshop introduced me to multiple quantitative tools and programs. I had never used these tools before, and I didn’t know they could be applied so extensively across so many areas of biology. By explaining how they use these programs in their own research, the instructors gave me a concrete idea about how to analyze my own scientific results, and I later applied to grad school at MIT. I currently study protein-protein interactions using MATLAB — thanks to the workshop, this program is no longer intimidating!
The workshop allowed me to network with MIT professors and students; I got advice about how to apply to MIT, listened to talks, and was introduced to the scientific literature. I also got a basic introduction to programming and realized how useful it is in biological research. Now, as a grad student in the Littleton lab, I use fruit flies to study changes in connections in motor neurons due to neuronal activity — research which requires programming for image analysis.
Flona Redway, PhD
Biology Instructor, RISE Program Director ● Barry University
I encourage my students to attend the workshop so they can develop computational thinking skills and learn quantitative approaches. After just seven days, they are more interested in computer science and biotechnology, have a working knowledge of PYTHON and MATLAB, and take a more critical approach to their investigations. They return with a new level of excitement about research and the possibilities of computational approaches. In fact, we are now proposing a course in computational and quantitative biology.
QMW attendee 2016 ● Florida International University ’18
The workshop was an incredible experience. I was able to meet and network with amazingly bright and motivated students, and the intense, fast paced program ensured we all made the most of our time while fostering teamwork. I was exposed to the programming languages used in MatLab, ImageJ, and Python. During a fellowship that same year, I used my newfound skills to write a program and analyze dozens of z-stacks efficiently — allowing my team to draw important conclusions from the work I had been doing.
Mónica Quiñones Frías
QMW attendee 2014 ● PhD candidate, MIT Biology
I didn’t have any computational biology experience before the workshop, which allowed me to explore different aspects of the field in a matter of days. I learned MATLAB, and I also learned to use ImageJ to analyze the intensity of different fluorescent proteins in an image. I continue to use these same techniques today to analyze the images I take with confocal microscopes as part of my research in the Littleton lab.