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2024 Scholars

ScholarUniversityLaboratoryPoster/Project Title
George BabineauxNorth Carolina A&TZanders“Examining Genetic Variation in Spore Health”
James BleachUniversity of LeedsLi“Assessing the efficacy of de novo peptides to inhibit c-Myc”
Diego Alfaro CarcobaJohns Hopkins UniversityKostova“Investigating Non-stop Decay During Early Zebrafish Development”
Samantha CrossmanWake Forest UniversitySankari“Characterizing the antimicrobial activity of cysteine-rich peptides from legumes”
Esha FrancisRockhurst UniversitySankari“Plant NCR Peptide Interactions with Bacterial Proteins in Yeast Display Model”
Camila GarciaUniversity of MarylandKostova“Utilizing Lipid Based Transfection in Zebrafish”
Matthew GilleyTruman State UniversityZanders“The Quickening: Identifying Stochastic Meiotic Drive in Fission Yeast”
Zoe GriffinRice UniversityTrainor“CRISPR-Cas9 Gene Editing in Veiled Chameleons (Chamaeleo calyptratus) to Study the Evolution of Developmental Mechanisms”
Paul LlamasSimpson ColegeYu“The effect of doxycycline in the intestine's morphology and its effect in behavior of stressed mice”
Marijose Lopez MirandaUniversidad Nacional Autonoma de Mexico-Bazzini“Finding the Start Site of Downstream ORFs”
Filippo RivaRockhurst UniversityOzel“An Optimized cell-type classifier for single-cell RNA sequencing data”
Raisa SanaaIndian Institute of ScienceMashruwala“Quorum sensing regulated mechanisms in Vibrio cholerae which protect against incoming type six secretion system (T6SS) attacks”
Laura Sancho SalazarMinerva UniversityHalfmann“Computationally designed binders inhibit Aβ and tau assembly in vivo”
Sydney SharonUniversity of MissouriGerton“FISH on fish: cytogenetic exploration of ribosomal DNA in zebrafish”
lan TorresUniversidad De ConcepcionYu“DiI labeling reveals neuronal morphology development in the olfactory bulb of postnatal anosmic mice”
Caleb WeberUniversity of KentuckyHalfmann"Exploring protein self-assembly using an mEos nanobody screening platform"
Nino Zhunzhunadze
Minerva University
Zeitlinger“Leveraging Deep Learning Model Predictions to Improve cis-regulatory Sequence Alignment”

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