Bio

As a Master’s student in Translational Research and Applied Medicine at Stanford Medicine, I’m passionate about bridging the gap between scientific discovery and real-world clinical impact. My career interests lie at the intersection of science and business, with a focus on advancing the development and implementation of novel therapeutics—particularly in the areas of genetics, rare disease, and neurodegenerative diseases.

I bring experience in clinical research, including work on the BabySeq Project, a pioneering study of genomic newborn screening (gNBS). This experience sparked my ongoing interest in how genomic technologies can be implemented to identify actionable health risks early in life. I continue to contribute to this field through my involvement with the International Consortium on Newborn Sequencing (ICoNS), a global initiative advancing gNBS research.

Honors & Awards

  • Pillars of Excellence Award in Advancing Innovation and Progress, Mass General Brigham (January 2025)

Contact

Links

Research Projects

  • BabySeq Project

    Research assistant for the BabySeq Project, a randomized clinical trial of genome sequencing in newborns led by Drs. Robert Green, Professor of Medicine (Genetics) at Harvard Medical School, and Ingrid Holm, Professor of Pediatrics at Harvard Medical School and Endowed Chair in Genetics and Genomics and Boston Children's Hospital.

    Location

    Boston, MA

    Organization

    Genomes2People Research Program at Brigham and Women's Hospital and Harvard Medical School

    For More Information:

Work Experience

  • Project Manager, Special Projects, International Consortium on Newborn Sequencing (July 1, 2023 - Present)

    The mission of ICoNS is to inform the clinical and public health research and implementation of genomic screening in newborns through the harmonization and aggregation of scientific evidence and resources.

    Location

    Boston, MA

  • Senior Research Assistant, Genomes2People Research Program at Brigham and Women's Hospital and Harvard Medical School (February 1, 2023 - July 18, 2025)

    The Genomes2People research program led by Dr. Robert Green at Brigham and Women’s Hospital and Harvard Medical School conducts cutting-edge empirical research to accelerate the implementation of genomic medicine and the promise of precision health.

    Location

    Boston, MA

  • Teaching Assistant, Middlebury Colllege (September 1, 2022 - December 1, 2022)

    Laboratory teaching assistant and peer mentor for students taking Behavioral Neuroscience.

    Location

    Middlebury, VT

  • Research Trainee, Genomes2People Research Program at Brigham and Women's Hospital and Harvard Medical School (June 1, 2022 - September 1, 2022)

    Location

    Boston, MA

All Publications

  • Data-driven consideration of genetic disorders for global genomic newborn screening programs. Genetics in medicine : official journal of the American College of Medical Genetics Minten, T., Bick, S., Adelson, S., Gehlenborg, N., Amendola, L. M., Boemer, F., Coffey, A. J., Encina, N., Ferlini, A., Kirschner, J., Russell, B. E., Servais, L., Sund, K. L., Taft, R. J., Tsipouras, P., Zouk, H., ICoNS Gene List Contributors, Bick, D., International Consortium on Newborn Sequencing (ICoNS), Green, R. C., Gold, N. B., Zygmunt, A., Ververi, A., Siu, C., Ponzi, E., Bertini, E., Xinwen, H., King, J., Kassahn, K., Koutsogianni, M., Valente, M. L., Pelo, M. J., Gentile, M., Orsini, P., Ficarella, R., Sansen, S., Rui, X., Zhengyan, Z., Goldenberg, A., Satija, A., Lundquist, A., Ferlini, A., Wiedemann, A., Tuff-Lacey, A., Al-Maraghi, A., Pichini, A., Akil, A. A., Brower, A., Gaviglio, A., Ponte, A., Oza, A., Posch, A., Barry, A., Rohrwasser, A., Malhotra, A., Lewis, A., Wedell, A., Duintjer, A., Grueters, A., Novelli, A., Bhatatcharjee, A., Nusair, A., Bitton, A., Stray-Pedersen, A., Thurm, A., Harmant, A., Hernan, B., Lee, B., Zettler, B., Boyd, B., Chung, B., Kirmse, B., Greenstein, B., Bennetts, B., Webb, B., Duz, B., Bupp, C., Level, C., Cameron, C., Siu, C., Philstrom, C., Goldman, C., Lewis, C., Hobbs, C., Schaaf, C., Greene, C., Leckie, C., Wu, C., Kingsley, C., Vacher, C., Powell, C., Kasperaviciute, D., Gottlieb, D., Uribe, D., Niu, D., Bick, D., Eckstein, D., Godler, D., Ledbetter, D., Ansel, D., Khangsar, D., Carli, D., Thanos, D., Pichard, D., Bailey, D., Bernstein, D., Paul Daniel, E. J., Vengoechea, E., Krupoderova, E., Voorhoeve, E., Agolini, E., Davoine, E., Lecommandeur, E., Drake, E., Van Steijvoort, E., Cole, F. S., Ulph, F., Alkuraya, F., Boemer, F., Gandhi, G. D., Brown, G., Bowley, G., Sahyoun, G., Charalambidou, G., Matthijs, G., Jin, G., Gumus, G., Smith, H., Etheredge, H., Turner, H., Cope, H., Brennenstuhl, H., Peay, H., Pickering, H., Kander, I., Holm, I., Rtskhiladze, I., Buchanan, J., Galarza-Cornejo, J., Ojodu, J., Schleit, J., Giordano, J., Merritt, J., Chance, J., Ziff, J., Berg, J., Balciuniene, J., Gonzalez de Aledo-Castillo, J. M., Dewulf, J., King, J., Garcia-Villoria, J., Yeo, J., O'Sullivan, J., Kassahn, K., Alex, K., Ellsworth, K., Mosiewicz, K., MacDuffie, K., Langley, K., GoldenGrant, K., Danielsen, K. E., Paleologos, K., Broomberg, K., Chan, K., Hagman, K., Kalbfleisch, K., Irvine, K., Hall, K., Van Den Bogaert, K., Sund, K., Milko, L., Capacchione, L., Scully, L., Faivre, L., Servais, L., Horwitz, L., Rottensten, L., Kauko, L., Protopsaltis, L., Henneman, L., Downie, L., Marcelis, L., Diller, L., King, L. S., Gardner, L., Metherell, L., St George, L., Kaplun, L., Hegde, M., Siitonen, M., Bresnahan, M., Ponikowska, M., Iascone, M., Martinez-Fresno, M., Raia, M., Dolle, M., Vu, M., Aujla, M., Ellinwood, M., Pelo, M., Gentile, M., Longoni, M., To, M., Clarke, M., Baker, M., Berenger, M., Wasserstein, M., Wright, M., Nyegaard, M., Gelb, M., Watson, M., Zuccolo, M., Pirreca, M., Niemela, M., van der Burg, M., Ferrie, M., Alshehri, M., Sachedina, N., Yin-Hsiu Chien, N., Mikkelsen, N. B., Bonhomme, N., Sondheimer, N., Encina, N., Kelly, N., Miller, N., Shah, N., Armstrong, N., Gold, N., Ceballo, O. C., Dixit, P., Lee, P., Orsini, P., Tafas, P., Kruszka, P., Rollier, P., Furu, P., Tsipouras, P., Twiss, P., Brooks, P. J., Teekakirikul, P., Klein, R., Badji, R. M., Heiner-Fokkema, R., Reimers, R., Zimmerman, R., Parad, R., Scott, R., Kaukonen, R., Green, R., Steiner, R., Melbardis, R., Hayeems, R., Heald, R., Liu, R., Hartmanis, S., Elsea, S., Norris, S., Grosse, S., Lunke, S., Yusuff, S., Morgan, S., Singh, S., Adelson, S., Seeloff, S., Koelker, S., Coury, S., Kingsmore, S., Brenner, S., Bhatt, S., Nicklen, S., Clasper, S., Drury, S., Dangouloff, T., Finkel, T., Brewster, T., Minten, T., Westover, T., Urv, T., Defay, T., Zemojtel, T., Cox, T., Bishop, T., Jensen, U. G., Stoltze, U., Mutze, U., Chung, W., Chen, W., Gao, Y., Quevedo, Y., Veloudi, Y., Kousa, Y., Chen, Y., Hu, Z., Stark, Z. 2025; 27 (7): 101443

    Abstract

    PURPOSE: Over 30 international studies are exploring newborn sequencing (NBSeq) to expand the range of genetic disorders included in newborn screening. Substantial variability in gene selection across programs exists, highlighting the need for a systematic approach to prioritize genes.METHODS: We assembled a data set comprising 25 characteristics about each of the 4390 genes included in 27 NBSeq programs. We used regression analysis to identify several predictors of inclusion and developed a machine learning model to rank genes for public health consideration.RESULTS: Among 27 NBSeq programs, the number of genes analyzed ranged from 134 to 4299, with only 74 (1.7%) genes included by over 80% of programs. The most significant associations with gene inclusion across programs were presence on the US Recommended Uniform Screening Panel (inclusion increase of 74.7%, CI: 71.0%-78.4%), robust evidence on the natural history (29.5%, CI: 24.6%-34.4%), and treatment efficacy (17.0%, CI: 12.3%-21.7%) of the associated genetic disease. A boosted trees machine learning model using 13 predictors achieved high accuracy in predicting gene inclusion across programs (area under the curve = 0.915, R2 = 84%).CONCLUSION: The machine learning model developed here provides a ranked list of genes that can adapt to emerging evidence and regional needs, enabling more consistent and informed gene selection in NBSeq initiatives.

    View details for DOI 10.1016/j.gim.2025.101443

    View details for PubMedID 40357684