Upcoming Events & Seminars
Student- & Postdoc-Focused Works-In-Progress Meetings on AI/Automation in Biodesign
Fall 2024 Schedule
Welcome! Are you a grad student/postdoc looking to share your work to the Center for Quantitative BioDesign community? We would love to hear about your work in progress! Please plan on giving a ~20-minute talk + 10 minutes for Q&A, and we’ll provide pizza and drinks
Preferences to presentation dates will be given on a first come-first serve basis! If you have any questions, please contact Lauren Hong (lauren.hong@duke.edu) or Max Golovsky (maximillian.golovsky@duke.edu).
| Date | Presenters |
| Aug 30, 2024 | Presenter 1: Tong Chen – (Chatterjee Lab): moPPIt: De Novo Generation of Motif-Specific Binders with Protein Language Models
Presenter 2: Emrah Simsek, PhD – (You Lab): Transfer learning from a protein language model predicts an antibiotic resistance phenotype from genotype |
| Sept 6, 2024 | Presenter 1: Brian Chan – (Rubenstein Lab): Chromatin organization regulated by active loop extrusion
Presenter 2: Hanhyeok Im,PhD – (Venturelli Lab) : Towards an Integrated Computational and Experimental Framework for Deciphering Gene Regulatory Networks in Diverse Bacteria |
| Sept 20, 2024 | Presenter 1: Kinshuk Sahu – (You Lab): Photorealistic P. aeruginosa pattern generation utilizing a deep learning framework
Presenter 2: Lauren Onweller – (Reker Lab): Computationally Guided Design and Synthesis of Self-assembling Combination Therapy Nanoparticles |
| Oct 11, 2024 | Presenter 1: Sophia Vincoff – (Chatterjee Lab): FusOn-pLM: A Fusion Oncoprotein-Specific Language Model via Focused Probabilistic Masking
Presenter 2: Nathaniel Blalock – (Romero Lab): Aligning a Protein Language Model via Reinforcement Learning with Experimental Feedback to Engineer a Brighter Anaerobic Fluorescent Protei
|
| Oct 18, 2024 | Presenter 1: Rio Watson – (Chatterjee Lab): Degradation of fusion proteins using algorithm-derived peptide-LNP therapeutics leads to mitigation of cancer phenotypes
Presenter 2: Kristen Lok – (You Lab): Colony Morphology Reveals Inoculum Composition of Microbial Communities Using Machine Learning |
| Nov 15, 2024 | Presenter 1: Mary Jia – (Chory Lab): Virus-like particle-assisted directed evolution
Presenter 2: Sri Seshadri – (Romero Lab): Reinforcement Learning with Experimental Feedback (RLXF) for Protein Sequence Optimization |
Fall 2024 CQB Seminar Schedule
Time: 3:00 – 4:00 pm
Day of the Week: Friday (s)
Place: Wilkinson Auditorium 021
| Date | Course | Speaker | Institution | Faculty Host | Presentation Title |
|---|---|---|---|---|---|
| Sept 27, 2024 | seminar | Hernan Garcia, Ph.D. | UC Berkeley | Lingchong You, PhD. | Using Physics as a Microscope to Dissect Transcriptional Dynamics in Development |
| Oct 4, 2024 | seminar | Alex Holehouse, Ph.D. | Washington University School of Medicine in St. Louis | Lucia Strader, Ph.D | Mapping from sequence to function in intrinsically disordered regions |
| Nov 8, 2024 | seminar | Theresa Reineke, Ph.D. | University of Minnesota Twin Cities | Daniel Reker, Ph.D. | Macromolecules Optimized via Machine Learning for High Performance Nucleic Acid Delivery |
| Nov 22, 2024 | seminar | KC Huang, Ph.D. | Stanford University | Lingchong You, Ph.D. | Predicting the assembly of the gut microbiome |
| Dec 6, 2024 | seminar | Jim Pfaendtner, Ph.D. | North Carolina State University | Daniel Reker, Ph.D. | Using biomimetic polymers to understand and control sequence/structure/function relationships in biomineralization |
