Eduardo Alejandro Lozano Garcia

Mr. Eduardo Alejandro Lozano Garcia


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2025 in NEJM AI
Verified
Journal Article
Closed access
MWMichael Wornow
Michael Wornow
EGEduardo Alejandro Lozano Garcia
Eduardo Alejandro Lozano Garcia
DDDev Dash
Dev Dash
JJJenelle Jindal
Jenelle Jindal
KMKenneth W. Mahaffey
Kenneth W. Mahaffey
NSNigam H. Shah
Nigam H. Shah

7 March 2025 in npj Digital Medicine
Verified
Journal Article
Open access
PDF file
CCCrystal T. Chang
Crystal T. Chang
HFHodan Farah
Hodan Farah
HGHaiwen Gui
Haiwen Gui
SRShawheen Justin Rezaei
Shawheen Justin Rezaei
CBCharbel Bou-Khalil
Charbel Bou-Khalil
RDRoxana Daneshjou
Roxana Daneshjou
Red teaming, the practice of adversarially exposing unexpected or undesired model behaviors, is critical towards improving equity and accuracy of large language models, but non-model creator-affiliated red teaming is scant in healthcare. We convened teams of clinicians, medical and engineering students, and technical professionals (80 participants total) to stress-test models with real-world clinical cases and categorize inappropriate responses along axes of safety, privacy, hallucinations/accuracy, and bias. Six medically-trained reviewers re-analyzed prompt-response pairs and added qualitative annotations. Of 376 unique prompts (1504 responses), 20.1% were inappropriate (GPT-3.5: 25.8%; GPT-4.0: 16%; GPT-4.0 with Internet: 17.8%). Subsequently, we show the utility of our benchmark by testing GPT-4o, a model released after our event (20.4% inappropriate). 21.5% of responses appropriate with GPT-3.5 were inappropriate in updated models. We share insights for constructing red teaming prompts, and present our benchmark for iterative model assessments.

5 September 2022 in Control Engineering Practice
Verified
Journal Article
Closed access
EGEduardo Alejandro Lozano Garcia
Eduardo Alejandro Lozano Garcia
MBMariana Ballesteros
Mariana Ballesteros
DCDavid Cruz-Ortiz
David Cruz-Ortiz
ICIsaac Chairez
Isaac Chairez

5 December 2024 in Engineering Applications of Artificial Intelligence
Verified
Journal Article
Closed access
EGEduardo Alejandro Lozano Garcia
Eduardo Alejandro Lozano Garcia
DCDavid Cruz-Ortiz
David Cruz-Ortiz
MBMariana Ballesteros
Mariana Ballesteros
ICIsaac Chairez
Isaac Chairez

4 February 2024 in ChemRxiv
Verified
Preprint
Open access
PDF file
RSRomulo Leoncio Cruz Simbron
Romulo Leoncio Cruz Simbron
siddhant sharmasiddhant sharma
siddhant sharma
AAAayush Arya
Aayush Arya
JRJessica Ray
Jessica Ray
EGEduardo Alejandro Lozano Garcia
Eduardo Alejandro Lozano Garcia
HCH. James Cleaves
H. James Cleaves
The formose reaction (FR) autocatalytically converts simple plausibly prebiotic feedstocks into molecules of biological interest, including ribose. Autocatalysis is a hallmark of life, thus various studies have explored the formose reaction with respect to the origins of life. The FR is robust under appropriate conditions, occurring readily at low temperatures from various substrates, and has been implicated in the generation of meteoritic organic compounds. We explored the FR here using a combination of in silico modeling techniques and high resolution mass spectrometry. The models match experimental results well, and point to the FR being much more complex than previously modeled or measured, and help explain the FR’s potential to generate homochirality and primitive compartments, both of which are also hallmarks of life, before the emergence of the complex directed molecular encoding suggested by the RNA World model. These results suggest the FR requires further study with regard to the origins of life, and its importance may lie in the way it enables and coordinates emergent chemistries, rather than the particular products it generates, such as ribose.

21 November 2021
Verified
Book Chapter
Closed access
PDF file
EGEduardo Alejandro Lozano Garcia
Eduardo Alejandro Lozano Garcia
FTFabricio Torres
Fabricio Torres
SLSaraí López
Saraí López
MBMariana Ballesteros
Mariana Ballesteros
DCDavid Cruz-Ortiz
David Cruz-Ortiz
ICIsaac Chairez
Isaac Chairez