Colleen Tartow, Ph.D.

(Content starts at 23 minutes into the video.)

Fireside chat

Colleen Tartow, Ph.D., Director of Engineering at Starburst Data, outlines how to create your own elevator pitch and how building a personal brand can benefit your career.

Colleen Tartow, Ph.D., Director of Engineering at Starburst Data, explains the detriments of unprofessional interactions via gossip at work and shares a simple rule that helps her avoid “the gossip trap."

Colleen Tartow, Ph.D., Director of Engineering at Starburst Data, shares her approach to measuring the morale of a team while emphasizing the importance of regular check-ins and one-on-ones.

One of the most significant barriers to growing into leadership is whether or not we're perceived as strategic. Often we focus so much on executing and driving results that we get labeled as operational and not strategic. It's an unfair perception, and this panel is dedicated to helping you increase your strategic contribution and move into the leadership role you want.

In this panel, you'll learn what it means to be strategic, how that affects your career progression, and how you can… Show more

One of the most significant barriers to growing into leadership is whether or not we're perceived as strategic. Often we focus so much on executing and driving results that we get labeled as operational and not strategic. It's an unfair perception, and this panel is dedicated to helping you increase your strategic contribution and move into the leadership role you want.

In this panel, you'll learn what it means to be strategic, how that affects your career progression, and how you can overcome some common barriers to being in a strategic role. This is a timely topic as recently research has shown that the pandemic has been particularly bad for women's career progressions. We'll be focusing on the actions you can take in your career to become more strategic and make sure your strategic contributions propel you forward! Show less

The secret is out - more diversity in leadership leads to more innovation and more revenue, period. This is particularly true in engineering, although harder to achieve in practice. Even those companies championed for inclusivity in engineering are still largely homogeneous at the leadership levels.

In this talk I will present a concrete plan of action to help you build a more diverse engineering leadership team, based on 15+ years of my own research and experience. By embracing a wider… Show more

The secret is out - more diversity in leadership leads to more innovation and more revenue, period. This is particularly true in engineering, although harder to achieve in practice. Even those companies championed for inclusivity in engineering are still largely homogeneous at the leadership levels.

In this talk I will present a concrete plan of action to help you build a more diverse engineering leadership team, based on 15+ years of my own research and experience. By embracing a wider array of the human experience across engineering leadership, businesses have been shown to innovate more, move faster, and handle complexity better than competitors. In fact, innovation revenue can be 10% higher solely based on increased gender diversity. Potential leaders from all walks of life are out there, let’s bring them into the game! Show less

Part of the Our Data is Our Superpower: How to Build a Data-Centric Startup Culture panel of speakers.

A blog co-published with Starburst Data CEO Justin Borgman.

You might be familiar with the concept of imposter syndrome, that nagging feeling that you aren’t good enough at something so you don’t deserve it (that job, that raise, that promotion). Hear from our incredible lineup of speakers who will break down not only what that looks like from a variety of different perspectives and why it can be both harmful (and sometimes helpful!) to your success, but also how to actually effectively combat those feels.

The ability to determine the success of your application security program depends on visibility into your data. Whether you are trying to capture your current risk posture, assess the secure coding skill level of your development teams, or gain assurance that you are meeting compliance – having the right data in a consumable format is critical.

During this webinar, you will hear from members of Veracode’s product management and engineering teams. They will discuss how they approach these… Show more

The ability to determine the success of your application security program depends on visibility into your data. Whether you are trying to capture your current risk posture, assess the secure coding skill level of your development teams, or gain assurance that you are meeting compliance – having the right data in a consumable format is critical.

During this webinar, you will hear from members of Veracode’s product management and engineering teams. They will discuss how they approach these types of goals and challenges for customers and provide examples of key value metrics and best practices in using application security analytics for reporting. You will walk away with a better understanding how Veracode’s Analytics supports the ability to capture informative data so that users can assess their current state and take action to improve their risk posture. Specifically you will see how Veracode Analytics helps your organization:

•Measure the current state of the security of their development, based on adherence to security policy and their Veracode usage
•Gain insight on program improvements by measuring their responsiveness to resolving security findings as well as comparing the different types of security findings in their portfolio
•Create custom data visualizations from scratch to target what is needed for managing their program Show less

A blog post introducing customers to Veracode's new analytics offering, including insights into the engineering underlying the platform.

We measure Doppler shifts of interstellar absorption lines in HST STIS spectra of individual star clusters in nearby UV-selected galaxies. Values for systemic velocities, which are needed to quantify outflow speeds, are taken from the literature and verified with stellar lines. We detect outflowing gas in 8 of 17 galaxies via low-ionization lines (e.g., C II, Si II, Al II), which trace cold and/or warm gas. The starbursts in our sample are intermediate in luminosity (and mass) to dwarf galaxies… Show more

We measure Doppler shifts of interstellar absorption lines in HST STIS spectra of individual star clusters in nearby UV-selected galaxies. Values for systemic velocities, which are needed to quantify outflow speeds, are taken from the literature and verified with stellar lines. We detect outflowing gas in 8 of 17 galaxies via low-ionization lines (e.g., C II, Si II, Al II), which trace cold and/or warm gas. The starbursts in our sample are intermediate in luminosity (and mass) to dwarf galaxies and luminous infrared galaxies (LIRGs), and we confirm that their outflow speeds (ranging from -100 to nearly -520 km s-1, with an accuracy of ~80 km s-1) are intermediate to those previously measured in dwarf starbursts and LIRGs. We do not detect the outflow in high-ionization lines (such as C IV or Si IV); higher quality data will be needed to empirically establish how velocities vary with the ionization state of the outflow. We do verify that the low-ionization UV lines and optical Na I doublet give roughly consistent outflow velocities, solidifying an important link between studies of galactic winds at low and high redshift. To obtain a higher signal-to-noise ratio (S/N), we create a local average composite spectrum and compare it to the high-z Lyman break composite spectrum. It is surprising that the low-ionization lines show similar outflow velocities in the two samples. We attribute this to a combination of weighting toward higher luminosities in the local composite, as well as both samples being, on average, brighter than the "turnover" luminosity in the v-SFR relation. Show less

Giant extragalactic H II regions in nearby normal galaxies are similar to dwarf starburst galaxies in luminosity/star formation rate, physical size, and stellar population, although they differ in gravitational potential, star formation rate per unit area, and surrounding environment. This dissertation compares feedback processes in these two types of star-forming regions.

Feedback, the cycle which regulates the relationship between star formation, the interstellar medium, and the… Show more

Giant extragalactic H II regions in nearby normal galaxies are similar to dwarf starburst galaxies in luminosity/star formation rate, physical size, and stellar population, although they differ in gravitational potential, star formation rate per unit area, and surrounding environment. This dissertation compares feedback processes in these two types of star-forming regions.

Feedback, the cycle which regulates the relationship between star formation, the interstellar medium, and the intergalactic medium, is empirically measured via observations of interstellar gas in star-forming regions, where stellar winds and supernovae create galactic-scale outflows of interstellar gas and dust which in turn may heat and enrich the intergalactic medium. These kiloparsec-scale winds are most directly probed via the supernova-heated hot gas. However, the cold and photoionized warm interstellar gas from the disk is entrained in the flow and also traces large-scale motions of outflowing matter. I investigate this via optical and ultraviolet absorption-line spectroscopy of the cold neutral medium, as well as emission-line studies of the Hα recombination in the warm ionized gas.

The H II regions in disks initially seem physically similar to dwarf starburst galaxies; shell fragments of ionized gas are found in both environments via high-resolution Hα emission spectroscopy. However, while complex Na D absorption profiles trace outflowing cold, neutral gas accelerated to near the escape velocity, no such counterpart is detected in the H II regions in outer disks. The lack of large-scale outflows of cold, neutral gas from the H II regions indicates that while dwarf starburst galaxies and the giant H II regions in normal galaxies may have similar properties, yet the feedback cycle in these regions is different. Show less

We have obtained high-resolution Echelle spectra (R=30,000-50,000) of the Na D absorption doublet (λλ5890, 5896) for six dwarf starburst galaxies and two more luminous starbursts: M82 and NGC 1614. The absorption features were separated into multiple components and separated into stellar and interstellar parts on the basis of kinematics. We find that three of the dwarfs show outflows, with an average blueshift of 27 km/s. This is small compared with the highest velocity components in NGC 1614… Show more

We have obtained high-resolution Echelle spectra (R=30,000-50,000) of the Na D absorption doublet (λλ5890, 5896) for six dwarf starburst galaxies and two more luminous starbursts: M82 and NGC 1614. The absorption features were separated into multiple components and separated into stellar and interstellar parts on the basis of kinematics. We find that three of the dwarfs show outflows, with an average blueshift of 27 km/s. This is small compared with the highest velocity components in NGC 1614 and M82 (blueshifted by 150 and 91 km/s, respectively); these two brighter galaxies also show more complex absorption profiles than the dwarfs. None of the outflow speeds clearly exceed the escape velocity of the host galaxy. Sight lines in NGC 2363 and NGC 4214 apparently intersect expanding shells. We compare the shocked gas velocity (vNaD) with the ionized gas velocity (vHα) and interpret the velocity difference as either a trapped ionization front (NGC 4214) or a leaky H II region (NGC 2363). The dwarfs show N_NaD=1011.8-1013.7 cm^2, while the Na D columns in M82 and NGC 1614 are 1013.7 and 1014.0 cm^2, respectively. The mass of expelled gas is highly sensitive to outflow geometry, dust depletion, and ionization fraction, but with a simple shell model we estimate neutral outflow gas masses from ~10^6 to ~10^10 M_solar. Show less