ABSTRACT
First Person is a series of interviews with the first authors of a selection of papers published in Disease Models & Mechanisms (DMM), helping early-career researchers promote themselves alongside their papers. Alexander Akerberg is first author on ‘ Deep learning enables automated volumetric assessments of cardiac function in zebrafish’, published in DMM. Alexander is a postdoctoral research fellow in the lab of Caroline E. Burns and C. Geoffrey Burns at Boston Children's Hospital, MA, USA, where he enjoys building new tools while investigating the molecular mechanisms that govern cardiac form and function.
Footnotes
Alexander Akerberg's contact details: Boston Children's Hospital, 300 Longwood Avenue, Boston, MA 02115, USA.
E-mail: alexander.akerberg{at}childrens.harvard.edu
- © 2019. Published by The Company of Biologists Ltd
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
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