Printable Schedule (PDF)
Monday, June 17, 2019
Tuesday, June 18, 2019
Wednesday, June 19, 2019
Thursday, June 20, 2019
Friday, June 21, 2019
| Monday, June 17, 2019 | ||||
| 8:00 - 9:00 | ECE Lobby | Check-in | ||
| 9:00 - 10:00 | ECE 125 | Workshop 1 | Optimization and data science | Aleksandr Aravkin (UW) |
| 10:00 - 10:30 | ECE Lobby | Break | ||
| 10:30 - 12:30 | ECE 125 | Workshop 2 | Optimization and data science | Aleksandr Aravkin (UW) |
| 12:30 - 14:00 | Lunch (on your own) | |||
| 14:00 - 15:00 | Workshop 3 | Applications | ||
| ECE 037 | • Stochastic optimal control and applications in finance | Tim Leung (UW) | ||
| ECE 045 | • Publishing using Jupyter notebooks | Randy LeVeque (UW) | ||
| ECE 003 | • Practical introduction to artificial neural networks and their applications | Eli Shlizerman (UW) | ||
| 15:00 - 15:30 | ECE Lobby | Break | ||
| 15:30 - 16:30 | Workshop 4 | Applications | ||
| ECE 037 | • Stochastic optimal control and applications in finance | Tim Leung (UW) | ||
| ECE 045 | • Publishing using Jupyter notebooks | Randy LeVeque (UW) | ||
| ECE 003 | • Practical introduction to artificial neural networks and their applications | Eli Shlizerman (UW) | ||
| Tuesday, June 18, 2019 | ||||
| 8:00 - 9:00 | ECE Lobby | Check-in | ||
| 9:00 - 10:00 | ECE 125 | Workshop 5 | Data science methods | J. Nathan Kutz (UW) |
| 10:00 - 10:30 | ECE Lobby | Break | ||
| 10:30 - 12:30 | ECE 125 | Workshop 6 | Data science methods | J. Nathan Kutz (UW) |
| 12:30 - 14:00 | Lunch (on your own) | |||
| 14:00 - 15:00 | Workshop 7 | Applications | ||
| ECE 037 | • Stochastic modeling of cancer evolution | Ivana Bozic (UW) | ||
| ECE 045 | • Mathematical and computational neuroscience | Kameron Harris (UW) | ||
| ECE 003 | • Solving PDEs in Python with firedrake | Daniel Shapero (UW) | ||
| 15:00 - 15:30 | ECE Lobby | Break | ||
| 15:30 - 16:30 | Workshop 8 | Applications | ||
| ECE 037 | • Stochastic modeling of cancer evolution | Ivana Bozic (UW) | ||
| ECE 045 | • Mathematical and computational neuroscience | Kameron Harris (UW) | ||
| ECE 003 | • Solving PDEs in Python with firedrake | Daniel Shapero (UW) | ||
| Wednesday, June 19, 2019 | ||||
| 8:00 - 8:45 | NANO Lobby | Check-in | ||
| 8:45 - 9:00 | JHN 102 | Opening Remarks | Bernard Deconinck and Divisional Dean Suzanne Hawley | |
| 9:00 - 10:00 | JHN 102 | Plenary 1 | How to mix binary fluids | Peter Schmid (ICL) |
| 10:00 - 10:30 | NANO Lobby | Break | ||
| 10:30 - 12:30 | JHN 111 | Sessions 1 | • Weather and climate: a data-rich world of fluid dynamics | Noah Brenowitz (UW), Chris Bretherton (UW), and KK Tung (UW) |
| MGH 231 | • Neural and neuronal networks | Wyeth Bair (UW), Michael Buice (Allen Inst.), Alison Duffy (UW), Panel: "Big-Data in Neuroscience and Applications" | ||
| NANO 181 | • Panel: Applied mathematics beyond academia | Lauren Lederer (UW), Karen Beaudry (UW), Erik Pearson (Battelle), Susie Sargsyan (HERE Tech), Keith Johnson (Boeing), Ben Crockett | ||
| 12:30 - 14:00 | Lunch (on your own) | |||
| 14:00 - 15:00 | JHN 102 | Plenary 2 | Max Max: affine spline insights into deep learning | Richard Baraniuk (Rice) |
| Coupled seismic/hydroacoustic/tsunami simulation | Randy LeVeque (UW) | |||
| 15:00 - 15:30 | NANO Lobby | Break | ||
| 15:30 - 17:30 | JHN 111 | Sessions 2 | • Optimization | James Burke (UW), Aleksandr Aravkin (UW) |
| MGH 231 | • Neural and neuronal networks | Eric Shea-Brown (UW), Eli Shlizerman (UW), Gabrielle Gutierrez (UW), Iris Shi (UW), Rich Pang (UW) | ||
| NANO 181 | • Modeling natural hazards | David George (USGS), Donna Calhoun (BSU), Peter Mackenzie (UW), Mike Turzewski (UW) | ||
| 17:30 - 18:30 | JHN 102 | Panel | Future research directions in applied mathematics | Chris Bretherton (UW), Chris Jones (UNC), Nathan Kutz (UW), Peter Schmid (ICL), Anne Greenbaum (UW), KK Tung (UW) |
| 18:30 - 21:00 | MGH 135 | Poster Session and Reception | ||
| Thursday, June 20, 2019 | ||||
| 8:00 - 9:00 | NANO Lobby | Check-in | ||
| 9:00 - 10:00 | JHN 102 | Plenary 3 | Mathematical modeling of targeted cancer therapeutics | Trachette Jackson (UM) |
| 10:00 - 10:30 | NANO Lobby | Break | ||
| 10:30 - 12:30 | JHN 111 | Sessions 3 | • Waves | Natalie Sheils (UMN), Vishal Vasan (ICTS), Xin Yang (UW), Jeremy Upsal (UW) |
| MGH 231 | • Mathematical Finance | Bahman Angoshtari (UW), Patricia Ning (UW), Jize Zhang (UW), Yang Zhou (UW) | ||
| NANO 181 | • Panel: Increasing diversity participation in applied mathematics | Kathleen Champion (UW), Matt Lorig (UW), Karen Beaudry (UW), Loyce Adams (UW), Trachette Jackson (UM) | ||
| 12:30 - 14:00 | Lunch (on your own) | |||
| 14:00 - 15:00 | JHN 102 | Plenary 4 | Challenges to the assimilation of data into computational models | Chris Jones (UNC) |
| 15:00 - 15:30 | NANO Lobby | Break | ||
| 15:30 - 17:30 | JHN 111 | Sessions 4 | • Waves | Chris Curtis (SDSU), John Carter (SU), Camille Zaug (SU), Naeem Masnadi (UW) |
| MGH 231 | • Mathematical modeling of cancer | Georg Luebeck (Fred Hutch), Hao Yuan Kueh (UW), Chay Paterson (UW), Nathan Lee (UW) | ||
| NANO 181 | • What isn't taught in the standard numerical analysis curriculum that should be? | Anne Greenbaum (UW), Larry Nazareth (WSU), Tom Trogdon (UCI), Randy LeVeque (UW) | ||
| Friday, June 21, 2019 | ||||
| 8:00 - 9:00 | NANO Lobby | Check-in | ||
| 9:00 - 10:00 | JHN 102 | Plenary 5 | Mathematics of exchange-traded funds: from price dynamics to statistical arbitrage | Tim Leung (UW) |
| 10:00 - 10:30 | NANO Lobby | Break | ||
| 10:30 - 12:30 | JHN 111 | Sessions 5 | • Optimization | Maryam Fazel (UW), Archis Ghate (UW), Terry Rockafellar (UW) |
| MGH 231 | • Data-driven discovery: integrating machine learning and dynamical systems | Kathleen Champion (UW), Emily Clark (UW), Bethany Lusch (ANL), Krithika Manohar (Caltech) | ||
| NANO 181 | • Panel: New approaches to applied mathematics education | Craig Gin (UW), Jeremy Upsal (UW), Benjamin Liu (UW), Tim Leung (UW) | ||