After enrolling in the Columbia PhD program, I joined Nicholas Tatonetti's lab as a National Library of Medicine informatics trainee. My research is focused on two primary areas: (1) the discovery of novel therapeutic properties exhibited by natural compounds (specifically, animal venoms) using data science and informatics, and (2) designing deep neural networks to improve electronic health records (EHR) phenotyping and adverse drug event detection models. More information on my recent publications can be found at venomkb.org and at the Tatonetti lab website.
Prior to coming to Columbia, I earned a Bachelor of Science degree from the University of Vermont, where I conducted research on the relationships between phylogenomics and complex genetic disorders under the advising of Dr. Neil Sarkar. My undergraduate honors thesis used simultaneous phylogenetic analysis metrics to infer the relationships between Alzheimer's disease genes by looking at the evolutionary lineages of those genes in nonhuman animal species.
Romano JD, Tatonetti NP. Using a novel ontology to inform the discovery of therapeutic peptides from animal venoms. AMIA Jt Summits Transl Sci Proc. 2016 Jul 20;2016:209-18.
Boland MR, Jacunski A, Lorberbaum T, Romano JD, Moskovitch R, Tatonetti NP. Systems biology approaches for identifying adverse drug reactions and elucidating their underlying biological mechanisms. Wiley Interdiscip Rev Syst Biol Med. 2016 Mar-Apr;8(2):104-22.
Romano JD, Tatonetti NP. VenomKB, a new knowledge base for facilitating the validation of putative venom therapies. Sci Data. 2015 Nov 24;2:150065.
Romano JD, Tharp WG, Sarkar IN. Adapting simultaneous analysis phylogenomic techniques to study complex disease gene relationships. J Biomed Inform. 2015 Apr;54:10-38.