Congrats to Faris, Jason, Jay, and Manav. They were awarded Best Healthcare Hack for their work at HackDuke 2017. They used Python software to completely automate a labor-intensive process in analyzing the D4 microarray. Check out their approach and their code here on Devpost.
Congrats to Kelli and Tosh. Their work on once-weekly injectable depots for type 2 diabetes has recently been published in Nature BME and highlighted in several other press releases. Read the article here or just the highlights at the following links: nBME News and Views, Behind the Paper, Herald Sun, or Pratt School of Engineering News.
Congratulations to National Academy of Engineering Grand Challenge Scholar (GCS) award recipients Jay Gupta, Paige Detwiler, Amy Cheng, and Manav Avlani! These GCS awards will fund their research towards solving the Grand Challenges of ‘engineering better medicines/diagnostics’ and also ‘developing tools for scientific discovery’.
Congratulations to undergraduate researcher Faris Albarghouthi for being awarded 3rd place in a poster competition at the January KAUST conference in Atlanta, for his work on the synthesis and characterization of polymer brush films on high-k dielectrics for bioelectrical environments. Great job Faris!
Congratulations to Stacey—just as is she about to leave our lab— for the publication of her magnum opus from her PhD, just published as one of the first two papers in the inaugural issue of a new Nature journal —Nature Biomedical Engineering. Click here for the press release by Duke and here for the release by Nature BME. Science Translational Medicine has also picked it up -click here for a link.
The Chilkoti lab in celebration of Eric and Stacey's defense. Congratulations!
Congratulations Eric on defending your Ph.D. Now its back to to Med School to add a second degree and be a Dr.Dr. or is it (Dr.)2?
The Chilkoti Group in celebration of the hard work of Isaac, Caslin, Mandana, and Stefan for their prelim exams:
Congratulations to Nick and Tosh for their paper in Nature Materials that solves the major bottleneck in the assembly of long repetitive DNA sequences. See also (,,  and ) and the open source Matlab code (see Codon Scrambler above) to design genes with repetitive DNA sequences that can be easily assembled in one step.