Atomic AI is a biotechnology company focused on RNA-targeted drug discovery using artificial intelligence and structural biology. Its platform combines deep learning models with in-house wet-lab assays to predict RNA three-dimensional structure and design RNA-targeted small molecules and therapeutics. Its foundation model (ATOM-1) enables high-precision RNA structure prediction, expanding access to previously undruggable targets. The company operates at the intersection of machine learning and molecular biology to develop next-generation RNA-centric medicines.
Hover over a name to see the position and date range. This table only
includes positions where at least the start date is known. The positions count
can count the same person multiple times if they held different positions;
similarly, the list of staff may include the same person multiple times if
they held more than one position during a single year.
For each year, a person is included if they were at the organization for any
part of the year; this means the actual staff count at any point during
the year can be lower (or higher, if some staff held multiple positions in a
single year).
Year
Positions count
Researchers
General staff
Associates
Board members
Advisors
Number of full-time staff at the beginning each year
The following table lists some dates and people who were at the organization
on the given date (namely, the start of the year). The table may not list every
person who worked for the organization (e.g. they could have joined and left in
the middle of a single year). This table excludes associates, interns,
advisors, and board members.
Date
Staff count
Staff
Full history of additions and subtractions
This table shows the full change history of positions. Each row corresponds
to at least one addition or removal of a position. Additions are in green and
subtractions are in red. If a position name changed,
it is listed simultaneously as an addition (of the new name) and removal (of
the old name) and colored yellow. Additionally there are faded variants of each
color for visited links.