Talks and Presentations
Conference Presentations
Neural Networks and Discriminant Loci of Parameterized Polynomial Systems: First Examples
[
Poster]
- SIAM Applied Algebraic Geometry - Eindhoven, The Netherlands, July 2023
Real Circles Tangent to Three Conics
[
Poster]
- Algebraic Geometry Northeastern Series - Amherst, Massachusetts, November 2022
Group Equivariant Neural Networks in Computer Vision
[
Slides]
- Alegebraic Vision Meeting, Czech Technical University - Prague, June 2022
XGBoost Models to Evaluate 3D Ligand Representations
[
Poster]
- Summer RosettaCon 2021 - 10th August 2021
KinBADL: Developing a 3D CNN to Predict Kinase-Inhibitor Binding Affinity
[
Poster]
- Winter RosettaCon 2021 - 18th March 2021
Exploring Poor Generalizations of Kinase-Drug Affinity Predictions in Existing Neural Network Models
[
Poster]
- Fox Chase Cancer Center, Research Day - 13th October 2020
- Summer RosettaCon 2020 - 6th August 2020
Other Presentations
Enumerative Geometry: Past, Present, and Future
[
Slides] and [
Notes]
- University of Toronto Scarborough Undergraduate Seminar -- (Virtual) Toronto, ON, Canada, 28th June 2023
Real Circles Tangent to Three Conics
- Bowdoin College President's Summer Research Symposium - Brunswick, Maine, 12st October 2022
Sentences and Strings: An Introduction to Model Theory
[
Slides]
- Undergraduate Mathematics Society - Learning Seminar, Columbia University - 11th July 2021
Evaluating Voxelized Representations with XGBoost Models
[
Slides]
- Karanicolas Lab, Group Meeting - 18th May 2021
New Developments in ML-Based Drug Discovery: The Latest from NeurIPS 2020
[
Slides] [
Notes]
- Karanicolas Lab, Group Meeting - 13th January 2021
Bayesian Deep Learning: Solving Problems in Computational Chemical Biology
[
Slides]
- Karanicolas Lab, Group Meeting - 28th October 2020
Current Deep Learning Models for Predicting Kinase Inhibitor Binding Affinities Generalize Poorly
[
Slides]
- Karanicolas Lab, Group Meeting - 2nd September 2020
