Data Optimization & Innovation Engineer | PhD Candidate
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ALT A timeline infographic titled "The Big Map of Who Lived When?" showing notable historical figures across various fields from 1200 to 2000 CE, categorized by profession and era.
ALT Map of Africa illustrating average rainfall in millimeters per year. A color gradient legend shows that dark blue areas receive over 3000 mm of rainfall annually, transitioning through greens, yellows, oranges, and reds to indicate progressively lower rainfall, with red areas receiving less than 100 mm per year. The map shows high rainfall concentrated in the central and western equatorial regions, decreasing significantly towards the north (Sahara Desert) and the southwest (Namib Desert). Eastern Africa also shows significant rainfall variations. Insets show rainfall data for Cape Verde and Seychelles.
ALT A scatter plot titled "Fair and square? Russian federal elections, 2000-21" which visualizes the results of Russian federal elections. The x-axis represents voter turnout in percentage, ranging from 0 to 100%. The y-axis represents the percentage of votes for Putin, Medvedev, or the United Russia party, also ranging from 0 to 100%. Each dot on the plot represents a polling station. A cluster of dots appears in the upper right corner, indicating high voter turnout and a high percentage of votes for the specified candidates. A dashed rectangle highlights a grid-like pattern of dots at numbers ending in zero and five, with an annotation suggesting this pattern indicates potential foul play. The source is cited as Kobak and Shpilkin (2021).
ALT A bar graph comparing the performance of various AI models on the NYT Connections puzzle. The graph shows the accuracy percentage of each model, with Gemini achieving the highest accuracy at 100%. Other models include Claude, ∞, and several versions of Llama and DeepSeek. The data is attributed to Lech Mazur and is from February 2025.
ALT Speaker at Gartner Marketing Symposium Xpo, presenting with a quote on slide that reads: 'Nearly half of consumers question the reliability of the information they need to make decisions.' Attribution to Andrew Frank, Gartner Analyst, 2024.
ALT A promotional image from Gartner featuring a quote about the need for organizations to adopt a proactive, integrated approach called TrustOps to defend brand trust against false representations. The image includes a visual of a red and white rope knotted tightly, symbolizing strength and interconnection.
ALT Promotional image by Gartner featuring a quote about TrustOps by Andrew Frank. The image shows a close-up of a hand holding a pen, checking off items on a list.
ALT A treemap infographic titled "The USA & Europe Have Given Equal Amounts of Support to Ukraine" showing military aid in billions. The USA has provided $69 billion, while European countries collectively contributed $66 billion. Key contributions include Germany ($13.6 billion), the UK ($10.8 billion), and Denmark ($8.1 billion). Smaller contributions are shown from other European nations and the rest of the world, totaling $3.1 billion. Data is sourced from the Ukraine Support Tracker (Kiel Institute) for the period from February 22 to December 24
ALT Bar chart showing Ukraine military aid as a percentage of GDP from various countries. Denmark leads with 2.04%, followed by Estonia at 2.03%, Lithuania at 1.48%, and Latvia at 1.35%. The USA contributes 0.3%, ranked lower despite giving the most aid in absolute dollars. Countries marked with symbols indicate borders with Russia (*) or Ukraine (+). Data from Feb 22 to Dec 24, sourced from the Ukraine Support Tracker.
ALT Chart showing frequency ranges for various phenomena, from 1 Hz (resting heart rate) to 30 sextillion Hz (gamma rays). Includes human senses, electronic devices, and electromagnetic spectrum. Scale spans from cycles per second to trillions of Hz.
ALT A timeline infographic titled "The Big Map of Who Lived When?" showing notable historical figures across various fields from 1200 to 2000 CE, categorized by profession and era.
ALT A heatmap table visualises the results of survey asking people from different nations to grade other nation’s cuisines on a scale of 1 to 100. The clear winner is Italian cuisine which is universally scored highly. Followed by Chinese, Japanese and Thai. Peruvian & Finnish cuisine rank the lowest.