Gustavo Lacerda: Difference between revisions
From Santa Fe Institute Events Wiki
No edit summary |
No edit summary |
||
| Line 2: | Line 2: | ||
See http://www.optimizelife.com | See http://www.optimizelife.com | ||
I'm a grad student at UBC, interested in machine learning and AI, and information theory. I like pretty math, '''especially''' when it helps us answer questions about the real world. I have a knack for spotting ambiguities and paradoxes, and sometimes need to resist the temptation of fixing them (a little sweeping-under-the-rug is sometimes necessary for fast progress). My most developed nameable skill seems to be programming (this is distinct from "hacking", at which I'm merely ok). I can be a pedanticist about notation, and often wish that standard mathematical language were based on [http://gustavolacerda.livejournal.com/707194.html typed] [http://gustavolacerda.livejournal.com/766911.html lambda] [http://gustavolacerda.livejournal.com/712751.html calculus]. I'm a former semantic web dreamer, but remain fond of [http://homepages.inf.ed.ac.uk/irahwan/docs/AIJ2007.pdf argument diagramming]. | I'm a grad student at UBC, interested in machine learning and AI, and information theory. I like pretty math, '''especially''' when it helps us answer questions about the real world. I have a knack for spotting ambiguities and paradoxes, and sometimes need to resist the temptation of fixing them (a little handwaving/sweeping-under-the-rug is sometimes necessary for fast progress). My most developed nameable skill seems to be programming (this is distinct from "hacking", at which I'm merely ok). I can be a pedanticist about notation, and often wish that standard mathematical language were based on [http://gustavolacerda.livejournal.com/707194.html typed] [http://gustavolacerda.livejournal.com/766911.html lambda] [http://gustavolacerda.livejournal.com/712751.html calculus]. I'm a former semantic web dreamer, but remain fond of [http://homepages.inf.ed.ac.uk/irahwan/docs/AIJ2007.pdf argument diagramming]. | ||
My background is diverse. I have degrees in Mathematics (BS) and Logic (MSc). My most important publication so far was at UAI2008 (using [http://www.optimizelife.com/wiki/Projects#Discovering_causal_graphical_models_with_-:ICA_.28with_Peter_Spirtes.29 ICA to infer the structure of causal networks]). I'm a reviewer for CogSci, and I've recently had recommendations written by profs in Computer Science, Philosophy, Statistics, and Brain and Cognitive Sciences. | My background is diverse. I have degrees in Mathematics (BS) and Logic (MSc). My most important publication so far was at UAI2008 (using [http://www.optimizelife.com/wiki/Projects#Discovering_causal_graphical_models_with_-:ICA_.28with_Peter_Spirtes.29 ICA to infer the structure of causal networks]). I'm a reviewer for CogSci, and I've recently had recommendations written by profs in Computer Science, Philosophy, Statistics, and Brain and Cognitive Sciences. | ||
Revision as of 20:39, 29 April 2009
See http://www.optimizelife.com
I'm a grad student at UBC, interested in machine learning and AI, and information theory. I like pretty math, especially when it helps us answer questions about the real world. I have a knack for spotting ambiguities and paradoxes, and sometimes need to resist the temptation of fixing them (a little handwaving/sweeping-under-the-rug is sometimes necessary for fast progress). My most developed nameable skill seems to be programming (this is distinct from "hacking", at which I'm merely ok). I can be a pedanticist about notation, and often wish that standard mathematical language were based on typed lambda calculus. I'm a former semantic web dreamer, but remain fond of argument diagramming.
My background is diverse. I have degrees in Mathematics (BS) and Logic (MSc). My most important publication so far was at UAI2008 (using ICA to infer the structure of causal networks). I'm a reviewer for CogSci, and I've recently had recommendations written by profs in Computer Science, Philosophy, Statistics, and Brain and Cognitive Sciences.
Recently concluded projects include:
- search algorithms for Bayesian sparse linear regression
- stochastic gradient methods for training Restricted Boltzmann Machines
- time-series modeling of energy usage in office buildings
At SFI, I'm hoping to boost my research on complex networks.