Forest Awarded Outstanding Advisor Award

Dr. Craig R. Forest, Associate Professor, Bioengineering was awarded the BME Outstanding Advisor Award. 

Each year the BME Graduate Student Advisory Board (GSAB) selects an Outstanding BME Advisor. Students are asked to nominate individuals who are deserving of recognition for a commitment to graduate student advisement.

Dr. Forest directs the Precision Biosystems Laboratory (PBL) at Georgia Tech, where he has created a collaborative and productive research and training environment. Ilya Kolb, Craig’s graduate student, states, “With so many hats to wear, [Dr. Forest] always makes time to meet with graduate students to discuss project progress, give valuable career advice, or offer his valuable insights. All students in the [Precision Biosystems Laboratory] feel like they are players on a team, not competitors. [Dr. Forest] works tirelessly to ensure that the students are afforded every opportunity to excel and grow. [He] is an effective manager, respected role model, and the epitome of an “Outstanding BME Advisor.”   

Dr. Craig Forest joined the Woodruff School of Mechanical Engineering as an Assistant Professor in August 2008.  Since then he has established a research program focused on the creation and application of miniaturized, high-throughput robotic instrumentation to advance biomolecular science, along with the fundamental engineering that makes such instrumentation possible. Dr. Forest’s laboratory works at the intersection of bioMEMS, machine design, signal processing, optics, and manufacturing at the frontiers of the emerging bio-nano field. The development of instruments that can load, manipulate, and measure many biological samples at the resolution of single cells simultaneously with better accuracy and reliability than current approaches opens the door to essential, comprehensive biological system studies.

In the course of the past 4.5 years, the instruments developed in the Forest laboratory have led to the genesis of a new field of intracellular in vivo robotics for neuroscience, a new virus detector that is a 10-100x improvement over pre-existing technologies, a device for personalizing drug dosage to prevent heart attacks, and a parallellized genome-engineering technique. Fundamental engineering advancements have been made in microfabrication, modeling flow of photons and fluids, and neuron identification within the milieu of the living brain.  These instruments, and the discoveries they enable, are unlocking new frontiers in neuroscience and genetic science.