From Graphs to Growth: Mentorship, Math, and the Power of Algorithms

Women in Data Science Worldwide

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הוסף לפני five שנים

תוכן מסופק על ידי Women in Data Science Worldwide (WiDS), Professor Margot Gerritsen, and Chisoo Lyons. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Women in Data Science Worldwide (WiDS), Professor Margot Gerritsen, and Chisoo Lyons או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

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Species Unite

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Stories that change the way the world treats animals.

לפני שנה 36:31

MP3•בית הפרקים

Math and Computer Science (2:51)
Graph Alignment (20:38)

Bio

Huda Nassar is a senior computer scientist at RelationalAI working on building the graph algorithms library offered as part of RelationalAI's product. Previously, Huda obtained a PhD in Computer Science from Purdue University and was a postdoc fellow at Stanford's School of Medicine. Huda is also known for her "Julia for Data Science" course which had over 13,000 students and focused on Data Science methods including graph analytics.

Connect with Huda

Huda Nassar on Linkedin

Connect with Us

Margot Gerritsen on LinkedIn

Follow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)

Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher

58 פרקים

#Science #Tech #Professor Margot Gerritsen #Wids #Data Science #Machine Learning #Deep Learning #Algorithms #Artificial Intelligence #Stanford #Women In Tech #Women In Data #Podcasting Education #Stanford Women in Data Science (WiDS) initiative #Cindy Orozco Bohorquez

From Graphs to Growth: Mentorship, Math, and the Power of Algorithms

Women in Data Science Worldwide

46 subscribers

published לפני שנה

שתפו

MP3•בית הפרקים

Math and Computer Science (2:51)
Graph Alignment (20:38)

Bio

Connect with Huda

Huda Nassar on Linkedin

Connect with Us

Margot Gerritsen on LinkedIn

Follow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide)

Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher

58 פרקים

Tüm bölümler

1
Navigating Career Transitions: From Academia to Product Management with Sohini Sakhar 29:30

לפני 15 weeks29:30

29:30

Highlights Time at Mathworks (17:27) Being a team leader (18:52) Staying in touch with the technical side (20:04) Advice (27:07) Bio Sohini Sarkar is a Principal Product Manager and a Senior Team Lead at MathWorks. Her career started with earning a Ph.D. in Civil Engineering and then working on DOE and EPA projects as a postdoctoral researcher. She has held various positions at Dassault Systèmes, ranging from a solution consultant to a market and competitive intelligence analyst, concurrently earning her MBA. Currently at MathWorks, Sohini focuses on established areas such as Math, Statistics, Optimization, and Machine Learning, to more emerging technologies such as Quantum Computing, Large Language Modeling and Generative AI, as well as Scientific Machine Learning. Connect with Sohini Sohini Sarkar on Linkedin Connect with Us Chisoo Lyons on LinkedIn Follow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on Apple Podcasts , Google Podcasts , Spotify , Stitcher…

1
Predicting Responsibly: Claudia Perlich on AI, Bias, and the Art of Data Science 46:02

לפני 21 weeks46:02

46:02

Predictive Modeling (4:15) Human judgement and processes (14:06) Imperfection in models (21:40) Bio Claudia Perlich is Managing Director and Head of Strategic Data Science for Investment Management at Two Sigma, where she has worked for seven years. In this role, Claudia is responsible for developing innovative alpha strategies at the intersection of alternative data, thematic hypotheses and machine learning in public markets. Claudia joined Two Sigma from Dstillery, an AI ad targeting company, where she worked as Chief Scientist. Claudia began her career in data science at the IBM Watson Research Center, concentrating on research in data analytics and machine learning for complex real-world domains and applications. Since 2011, Claudia has served as an adjunct professor teaching Data Mining in the M.B.A. program at New York University’s Stern School of Business. Claudia received a Ph.D. in Information Systems from Stern School of Business, New York University, holds an M.S. of Computer Science from Colorado University and a B.S. in Computer Science from Technical University Darmstadt, Germany. Connect with Claudia Claudia Perlich on Linkedin Connect with Us Margot Gerritsen on LinkedIn Follow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts , Spotify , Stitcher…

1
Navigating Curiosity to Leadership in Tech 15:56

לפני 25 weeks15:56

15:56

Highlights Vulnerability and honesty in leadership (12:07) Finding leaders who are willing to take risks on talent (13:48) Bio Maritza is an engineering manager at Klaviyo, where she leads a team focused on creating tools that help marketers better understand and optimize their campaign and flow performance. She enjoys collaborating with her team to develop solutions that provide clear, actionable insights for users. Before joining Klaviyo, Maritza worked at startups in the clinical trial management and natural language processing (NLP) sectors, where she gained experience in applying software to solve practical challenges. She began her career as a research assistant in a computational neuroimaging lab, where she was introduced to software development through the lab's open-source projects. This experience sparked her interest in using technology to address real-world problems. Outside of work, Maritza enjoys knitting, though much of her time is happily spent caring for her 1- and 3-year-olds. Connecting with Maritza Maritza Ebling on Linkedin Connect with Us Tina Tang on LinkedIn Follow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on Apple Podcasts , Google Podcasts , Spotify , Stitcher…

1
From Graphs to Growth: Mentorship, Math, and the Power of Algorithms 36:31

לפני 34 weeks36:31

36:31

Math and Computer Science (2:51) Graph Alignment (20:38) Bio Huda Nassar is a senior computer scientist at RelationalAI working on building the graph algorithms library offered as part of RelationalAI's product. Previously, Huda obtained a PhD in Computer Science from Purdue University and was a postdoc fellow at Stanford's School of Medicine. Huda is also known for her "Julia for Data Science" course which had over 13,000 students and focused on Data Science methods including graph analytics. Connect with Huda Huda Nassar on Linkedin Connect with Us Margot Gerritsen on LinkedIn Follow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on Apple Podcasts , Google Podcasts , Spotify , Stitcher…

1
Beyond Borders: Elevating Women in Data Science and Leadership 36:16

לפני 38 weeks36:16

36:16

Language as the access to different cultures (2:09) Career journey (8:23) People first in leadership style (23:19) Bio Hannah Pham is a seasoned data leader with experience building and scaling data teams at top tech companies like Airbnb and Pinterest. Hannah's expertise spans consumer and monetization domains. As the Head of Data Science for the consumer area at Pinterest, she leverages data to bring the best experience to Pinners and drive business growth. Hannah is also a successful startup founder with Skin AI, a personalized skincare company that she co-founded in 2018. Connect with Hannah Hannah Pham on Linkedin Connect with Us Chisoo Lyons on LinkedIn Follow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on Apple Podcasts , Google Podcasts , Spotify , Stitcher…

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From Internship to Impact: A Data Scientist’s Journey 28:21

לפני 47 weeks28:21

28:21

Sydney Hazen, a Privacy Data Scientist at Ford, shares her journey from a college intern to a full-time role. She highlights how internships can lead to job offers and the importance of real-world experience and corporate navigation. Sydney emphasizes applying technical skills with a socially conscious approach, understanding problems before diving into data, and credits her professor and diverse classmates for shaping her perspective. She plans to pursue further education and explore different roles, underscoring the unique position of women in data science and the need for self-advocacy and finding mentors. Highlights Internship at Ford (8:25) Time at Notre Dame (14:55 Influencers (17:54) Bio Sydney is a Privacy Data Scientist at Ford Motor Company, as a part of the Ford College Graduate (FCG) rotational program. She is a recent graduate of the University of Notre Dame, with a degree in Applied and Computational Mathematics and Statistics (ACMS) and a minor in Data Science. She has a range of experience spanning software development, data engineering, and analytics and is always looking to gain new knowledge in the technology sphere. Connect with Sydney Sydney Hazen on Linkedin Connect with Us Chisoo Lyons on LinkedIn Follow WiDS on LinkedIn (@Women in Data Science (WiDS) Worldwide), Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on Apple Podcasts , Google Podcasts , Spotify , Stitcher…

1
The Power of Linguistics in Large Language Models and AI 42:46

לפני 1 year42:46

42:46

Highlights LLMs (1:46) AI systems (3:25) The need for humanness in AI (20:17) Transitioning to independent consultant (28:31) Bio Karin Golde, is the Founder of West Valley AI. She helps businesses and technical leaders navigate the rapidly developing landscape of AI and Large Language Models by sharing her expertise which has ranged from executive leadership roles at multiple startups to heading the language engineering division for the AI Data team at Amazon Web Services. Her philosophy is to cut through the hype, collaborate with integrity, and keep a laser focus on providing value to your business. Connect with Karin Karin Golde on Linkedin Website West Valley IA Connect with Us Chisoo Lyons on LinkedIn Follow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on Apple Podcasts , Google Podcasts , Spotify , Stitcher…

1
Applying topological data analysis and geometry-based ML 28:24

לפני 1 year28:24

28:24

Highlights: 00:02:25 - Colleen’s motivation for writing a book, interdisciplinary collaborations, and explaining advanced mathematical tools in accessible ways. 00:08:44 - Journey from biology and social sciences to data science, and the integration of different mathematical tools in solving data problems. 00:14:13 - Overcoming imposter syndrome and the value of exploring beyond one's field. 00:15:02 - The importance of mentorship. 00:23:40 - Coping strategies for setbacks in academia and industry. About the Guest: Colleen Farrelly is an author and senior data scientist. Her research has focused on network science, topological data analysis, and geometry-based machine learning. She has a master's from the University of Miami and has experience in many fields, including healthcare, biotechnology, nuclear engineering, marketing, and education. Colleen wrote the book, The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R . Mentions: Connect with Colleen Farrelly on LinkedIn Related Links: The Shape of Data: Geometry-Based Machine Learning and Data Analysis in R Connect with Us Margot Gerritsen on LinkedIn Listen and Subscribe to the WiDS Podcast on Apple Podcasts , Google Podcasts , Spotify , Stitcher…

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Using Curiosity, Mentorship, and Education to Build a Career 34:36

לפני 1 year34:36

34:36

Summary: Listen to the incredible and inspiring journey of Avalon Baldwin’s career journey. A self-described data nerd, she was not only the first in her family to attend college, she went on to get a graduate degree. Today she is an entrepreneur running her own consulting company. In conversation with Chisoo Lyons, Avalon shares how curiosity, mentorship, and coaching made a difference in her life. Highlights: ( 06:18 ): Exploring factors like how data is collected, the intention behind collecting a specific data point instead of another one, and how they can influence analysis and interpretation. ( 08:20 ): Working with students as individuals and promoting self-agency, as able to influence their own future. ( 12:02 ): Avalon describes her journey to become the first in her family to be a college student ( 32:02 ): Advice on finding a mentor. About the Guest: Avalon Baldwin master's degree in positive developmental psychology and evaluation from the Claremont Graduate University. She received her bachelor's degree in biopsychology from Mills College,. Avalon's consulting company, which she just recently launched, is called Curious Evaluation. Avalon provides consulting services for nonprofit organizations to help in evaluating the impact of their programs using data and science by framing the effort around the organization's mission, goals and values. Mentions: Connect with Avalon on LinkedIn Related Links: Curious Evaluation Connect with Us: Chisoo Lyons on LinkedIn Follow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on: Apple Podcasts , Google Podcasts , Spotify , Stitcher…

1
Fighting Crypto Crime with Data Science 33:35

לפני 2 years33:35

33:35

In this episode, Margot Gerittsen speaks with Kim Grauer. Kim is the Director of Research at Chainalysis, where she examines trends in cryptocurrency economics and crime. Listen as she talks about her obsession with fighting fraud in the cryptocurrency market. Highlights: What is crypto crime Trust in stable coin Misconceptions around cryptocurrency Using data and data science in fighting fraud About the Guest: Kim is the Director of Research at Chainalysis, where she examines trends in cryptocurrency economics and crime. She was trained in economics at the London School of Economics and in politics at Oxford University. Previously, she explored technological advancements in developing countries as an academic research associate at the London School of Economics and was an economics researcher at the New York City Economic Development Corporation. Related Links: Chainalysis New York City Economic Development Corporation Connect with Us Margot Gerritsen on LinkedIn Follow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on Apple Podcasts , Google Podcasts , Spotify , Stitcher…

1
Using Storytelling to Communicate with Stakeholders 40:27

לפני 2 years40:27

40:27

Michelle Katics, CEO and co-founder of BankersLab, discusses her journey in risk management training and the importance of integrating technical skills with business and soft skills. She shares her experience in helping banks navigate complex regulations and the need for training to improve understanding and decision-making. Katics emphasizes the importance of storytelling and simplifying complex concepts to effectively communicate with stakeholders. She also highlights the need for women to participate in data science and entrepreneurship, and encourages everyone to continue learning and collaborating to drive innovation and growth. Katics also discusses her involvement in volunteer work, including supporting migrants and refugees and mentoring aspiring entrepreneurs. She concludes by encouraging listeners to embrace diverse skill sets and collaborate to achieve better outcomes. Highlights: Why Michelle went into risk management and why it’s so critical for enterprise success (00:58) Blending business and soft skills with technical skills for optimal outcomes ( 04:52 ) Importance of storytelling ( 07:19 ) Mentions: Connect with Michelle Katics on LinkedIn Bios: Michelle Katics is the co-founder and CEO of BankersLab. BankersLab provides a virtual simulation platform taking learning to the next level, combining business expertise in lending with numerical simulation and gamification. Michelle is a thought leader in the fintech revolution and a champion of talent transformation and innovation. During her career she worked at the Federal Reserve Bank of Chicago, the International Monetary Fund, Fair Isaac, and with numerous financial institutions who were her clients in over 30 countries. Alongside her impressive career accomplishments, she has a diverse and rich portfolio of volunteering activities being in service of others. New co-host and the WiDS Chief of Programs, Chisoo Lyons spent years in consulting services, working with clients including leading banks and financial services organizations worldwide. She held several leadership positions in consulting, research, solution development, and business-line management. She kick-started her career as a data analyst at FICO. Today, at WiDS, she remains dedicated to supporting and empowering women in data science. Learn more from data science leaders like Michelle on Using storytelling to communicate with stakeholders. Connect with Us Chisoo Lyons on LinkedIn Follow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on Apple Podcasts, Google Podcasts, Spotify, Stitcher…

1
Data Science Leadership: Creating Meaningful Impact 43:15

לפני 2 years43:15

43:15

In this episode, Mary Krone explores her career shift from a PhD in chemistry and biochemistry to data science, where she builds financial credit models. She highlights her work’s tangible impact and discusses the challenges of work-life balance. Mary’s passion for data science’s positive potential in finance shines through as she debunks misconceptions, talks about career paths, and dives into the evolving world of data science and generative AI. The episode also includes topics of the need for continuous learning and the blend of art and science in data science. Highlights: Mary’s transition from doing theoretical work to work in the real world (00:34) It takes a “village” to be successful (10:06) Managing a team of data scientists and why she describes herself as “leading teams who use data science for good” (21:01) Mary’s views and optimism about the data science field (33:25) Women’s roles in the future of data science (45:07) Mentions: Connect with Mary Krone on LinkedIn Bios: Mary Krone believes in using data science for good––to make meaningful and positive impact. Currently, she leads a data science team at Credit Karma, a personal finance company. Previously, Mary held various leadership roles in both technical and management tracks at FICO. Mary holds a PhD in Chemistry & Biochemistry from UC Santa Barbara and a BA in Chemistry and Secondary Education from Vassar College. New co-host and the WiDS Chief of Programs, Chisoo Lyons spent years in consulting services, working with clients including leading banks and financial services organizations worldwide. She held several leadership positions in consulting, research, solution development, and business-line management. She kick-started her career as a data analyst at FICO. Today, at WiDS, she remains dedicated to supporting and empowering women in data science. Learn more from data science leaders like Mary on Data Science Leadership: Creating Meaningful Impact. Connect with Us Chisoo Lyons on LinkedIn Follow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on Apple Podcasts , Google Podcasts , Spotify , Stitcher…

1
Kate Kolich on Mentorship, Data Ethics, and Leadership 31:47

לפני 2 years31:47

31:47

Kate Kolich serves as the Assistant Governor and the General Manager of Information Data and Analytics at the Reserve Bank of New Zealand. With an extensive background in the financial sector, she also has significant public sector experience. Throughout her impressive career, she's delved into areas like data analytics, digital strategy, information management, data governance, business intelligence, and data warehousing, among others. Soon after the launch of Women in Data Science (WiDS) at Stanford, Kate became an active WiDS ambassador. She has organized numerous WiDS conferences in New Zealand, spotlighting nearly 100 female data scientists. Beyond this, Kate is a passionate mentor and supporter of many professionals in New Zealand. In this episode, we discuss Kate's role at the Reserve Bank, the role of her team, highlights from her career, and her insights on being a successful woman leader in her field. For Detailed Show Notes visit our website. In This Episode We Discuss: Kate’s role at the Reserve Bank of New Zealand. Data Guardianship: the concept of ‘kaitiakitanga’(guardianship in Te re Māori) and its relevance for those working with data. Kate’s evolution from a hands-on tech role to impactful leadership. How Kate overcame self-doubt early on in her career. Championing innovative data visualizations at the EECA to create greater impact. The value Kate places on mentorship and helping others grow in their careers. Kate’s association with WiDS New Zealand: Organizing conferences and spotlighting female data scientists. Kate's journey of realizing the significance of leadership and communication for broader impact. RELATED LINKS Connect with Kate Kolich on LinkedIn Find out more about the Reserve Bank of New Zealand View the EECA’s New Zealand Energy Scenarios Data Visualization View the data and statistics published by Kate’s team at RBNZ Statistics - Reserve Bank of New Zealand - Te Pūtea Matua (rbnz.govt.nz) Connect with Margot Gerritsen on Twitter (@margootjeg) and LinkedIn Follow WiDS on Twitter (@WiDS_Worldwide), Facebook (WiDSWorldwide), and Instagram (wids_worldwide) Listen and Subscribe to the WiDS Podcast on Apple Podcasts , Google Podcasts , Spotify , Stitcher…

לפני 7 years36:22

36:22

Attaining tenured status at a major university is often the culmination of an academic’s career; giving it up is unthinkable for most. But after 10 years at UCLA, Jennifer Chayes was offered a job at Microsoft. The offer, she says,“scared me to death,” but she took the job and is now managing director for Microsoft Research in New England, New York and Montreal. “There are brass rings that come along,and they always come along at the most inopportune times,and they look really scary, but I believe that we should grab them when they come along,” Chayes says during a conversation with Stanford’s Margot Gerritsen, Stanford professor and host of the Women in Data Science podcast. Chayes is a big advocate of eliminating biases in search algorithms and believes that data scientists have “the opportunity to build algorithms with fairness, accountability, transparency and ethics, or FATE.” FATE, a group that formed at one of Chayes’ labs, works to address inequity in the field. In one particular instance, the group discovered that certain searches yielded certain results. Searches looking for computer programmers, for example, typically returned results for people with male names. The change Chayes' team implemented in the search algorithm removed that built-in bias. Removing bias from hiring is not only fair, it results in better outcomes, she says. “I think that you’re more likely to ask the right questions if you have been on the wrong side of outcomes. So you’re much more likely to see a lack of fairness or bias as a problem before it happens.” Chayes believes that the fieldof data science is changing and that the increase in underrepresented voices will be critical to the future of the field moving forward.…

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