Session I
| 9:20am | Presenter | Topic |
|---|---|---|
| 1 | Changyu Gao | Differentially Private Machine Learning |
| 2 | Cassie Leech | Chromatin Dynamics of Methyl Metabolism |
| 3 | Randolph Ashton | Bioengineering CNS Development for Regulatory Science, Disease Modeling, and Drug Discovery Applications |
| 4 | Brady Lundin | A Scalable Human Neural Rosette AssayTM for Assessment of Environmental and Genetic Neural Tube Defect Risk” |
| 5 | Rahul Ramachandran | Predictive models for the treatment of lower urinary tract symptoms |
| 6 | Huanran Li | Visualizing High Dimensional Subspace with GrassCaré |
Session II
| 10:00am | Presenter | Topic |
|---|---|---|
| 7 | Jon Eckhart | ESLAB Update |
| 8 | Chris Endemann | The Machine Learning (ML) Community: Pooling ML Knowledge Across Disciplines |
| 9 | Lily Miller | Enzymatic Comparison of Histone H3 Lysine 9 Methyltransferases. |
| 10 | Erika Da-Inn Lee | How the DNA folds inside the cell: a choose-you-own-adventure story (and reading it with machine learning) |
| 11 | Shruthi Magesh | Exploring How Bacteria Adapt to Life in a Community |
| 12 | Dekun Zhuo | On Sparse Approximation of Data |
| 13 | Chris Thomas | Harnessing Bacterial Resilience for Antibiotic Discovery |
Session III
| 1:30pm | Presenter | Topic |
|---|---|---|
| 14 | Lauren Sarko | Genome-edited CAR T Cells to Target Senescence and Neurodegeneration |
| 15 | Rob Nowak | Why Do Neural Networks Work So Well? |
| 16 | Clementine Zimnicki | Squares vs Maps: Effects of Configuration on the Dark-is-more bias. |
| 17 | Michael Ferris | UBI: What Google Doesn’t Tell You |
| 18 | John Yin | Preventing Future Pandemics: A Role for Zombie Viruses |
| 19 | Kayla Kohen & Julia Nepper | The Science Story Workshop |
| 20 | Saptarshi Pyne | Network-based data integration and visualization provides a global understanding of regulatory mechanisms in Aspergillus fumigatus |
| 21 | Chi Chi May | Microbes and Immunology- An INTRO |
Session IV
| 2:30pm | Presenter | Topic |
|---|---|---|
| 22 | Jim Luedtke | Designing resilient systems with stochastic optimization |
| 23 | Karan Srivastava | Reconstructing Linear Data |
| 24 | Josh Arnold | Seeking Collaborators for Agriculture and Solar Energy Project |
| 25 | Nathan Kolbow | Fast reconstruction of phylogenetic networks via random sample consensus |
| 26 | Bryce Sprecher | Emerging Applications for 3D Spatial Data |
| 27 | Daniel Pimentel-Alarcon | Subspaces and the Double Banana |
| 28 | Bilge Mutlu | INTEGRATE: Training the next generation of researchers for the human-technology frontier |
| 29 | Chung-Yin Lin | Building a robust connection from simulations to injection molding |







